{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NREL National Climate Database (NCDB) - HSDS Demo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates basic usage of the National Renewable Energy Laboratory (NREL) National Climate Database (NCDB) data. The data is provided from Amazon Web Services using the HDF Group's Highly Scalable Data Service (HSDS).\n",
    "\n",
    "For this to work you must first install h5pyd:\n",
    "\n",
    "```\n",
    "pip install --user h5pyd\n",
    "```\n",
    "\n",
    "Next you'll need to configure HSDS:\n",
    "\n",
    "```\n",
    "hsconfigure\n",
    "```\n",
    "\n",
    "and enter at the prompt:\n",
    "\n",
    "```\n",
    "hs_endpoint = https://developer.nrel.gov/api/hsds\n",
    "hs_username = None\n",
    "hs_password = None\n",
    "hs_api_key = 3K3JQbjZmWctY0xmIfSYvYgtIcM3CN0cb1Y2w9bf\n",
    "```\n",
    "\n",
    "*The example API key here is for demonstation and is rate-limited per IP. To get your own API key, visit https://developer.nrel.gov/signup/*\n",
    "\n",
    "You can also add the above contents to a configuration file at ~/.hscfg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:48:39.175801Z",
     "start_time": "2019-02-06T19:48:39.034304Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import h5pyd\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "from scipy.spatial import cKDTree"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Usage\n",
    "\n",
    "The NCDB is provided in annual .h5 files and currently spans 2006-2100. \n",
    "\n",
    "The RCP4.5 can be accessed from:\n",
    "  /nrel/ncdb/4km-Hourly-CONUS/v1.0.0/RCP4.5/ncdb_rcp4.5_${year}.h5\n",
    "\n",
    "The RCP8.5 can be accessed from: \n",
    "  /nrel/ncdb/4km-Hourly-CONUS/v1.0.0/RCP8.5/ncdb_rcp8.5_${year}.h5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:32:02.178393Z",
     "start_time": "2019-02-06T18:32:01.822243Z"
    }
   },
   "outputs": [],
   "source": [
    "# Open the desired year of ncdb data\n",
    "# server endpoint, username, password is found via a config file\n",
    "f = h5pyd.File(\"/nrel/ncdb/4km-Hourly-CONUS/v1.0.0/RCP4.5/ncdb_rcp4.5_2006.h5\", 'r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:33:57.735172Z",
     "start_time": "2019-02-06T18:33:57.373693Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['air_temperature',\n",
       " 'air_temperature_percent_change',\n",
       " 'air_temperature_raw_change',\n",
       " 'dhi',\n",
       " 'dhi_percent_change',\n",
       " 'dhi_raw_change',\n",
       " 'dni',\n",
       " 'dni_percent_change',\n",
       " 'dni_raw_change',\n",
       " 'ghi',\n",
       " 'ghi_percent_change',\n",
       " 'ghi_raw_change',\n",
       " 'meta',\n",
       " 'solar_zenith_angle',\n",
       " 'time_index',\n",
       " 'wind_speed',\n",
       " 'wind_speed_percent_change',\n",
       " 'wind_speed_raw_change']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(f)  # list the datasets in the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:34:32.751989Z",
     "start_time": "2019-02-06T18:34:32.630250Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760, 522485)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Datasets are stored in a 2d array of time x location\n",
    "dset = f['ghi']\n",
    "dset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:45:17.972025Z",
     "start_time": "2019-02-06T18:45:17.286944Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2006-01-01 00:00:00+00:00', '2006-01-01 01:00:00+00:00',\n",
       "               '2006-01-01 02:00:00+00:00', '2006-01-01 03:00:00+00:00',\n",
       "               '2006-01-01 04:00:00+00:00', '2006-01-01 05:00:00+00:00',\n",
       "               '2006-01-01 06:00:00+00:00', '2006-01-01 07:00:00+00:00',\n",
       "               '2006-01-01 08:00:00+00:00', '2006-01-01 09:00:00+00:00',\n",
       "               ...\n",
       "               '2006-12-31 14:00:00+00:00', '2006-12-31 15:00:00+00:00',\n",
       "               '2006-12-31 16:00:00+00:00', '2006-12-31 17:00:00+00:00',\n",
       "               '2006-12-31 18:00:00+00:00', '2006-12-31 19:00:00+00:00',\n",
       "               '2006-12-31 20:00:00+00:00', '2006-12-31 21:00:00+00:00',\n",
       "               '2006-12-31 22:00:00+00:00', '2006-12-31 23:00:00+00:00'],\n",
       "              dtype='datetime64[ns, UTC]', length=8760, freq=None)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extract datetime index for datasets\n",
    "time_index = pd.to_datetime(f['time_index'][...].astype(str))\n",
    "time_index # Temporal resolution is 60min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:46:51.882658Z",
     "start_time": "2019-02-06T18:46:06.078162Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>elevation</th>\n",
       "      <th>timezone</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.369999</td>\n",
       "      <td>-124.699997</td>\n",
       "      <td>128</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'Washington'</td>\n",
       "      <td>b'Clallam'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.169998</td>\n",
       "      <td>-124.699997</td>\n",
       "      <td>50</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'Washington'</td>\n",
       "      <td>b'Clallam'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.130001</td>\n",
       "      <td>-124.699997</td>\n",
       "      <td>40</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'Washington'</td>\n",
       "      <td>b'Clallam'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48.369999</td>\n",
       "      <td>-124.660004</td>\n",
       "      <td>135</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'Washington'</td>\n",
       "      <td>b'Clallam'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>48.330002</td>\n",
       "      <td>-124.660004</td>\n",
       "      <td>36</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'Washington'</td>\n",
       "      <td>b'Clallam'</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    latitude   longitude  elevation  timezone           country  \\\n",
       "0  48.369999 -124.699997        128        -8  b'United States'   \n",
       "1  48.169998 -124.699997         50        -8  b'United States'   \n",
       "2  48.130001 -124.699997         40        -8  b'United States'   \n",
       "3  48.369999 -124.660004        135        -8  b'United States'   \n",
       "4  48.330002 -124.660004         36        -8  b'United States'   \n",
       "\n",
       "           state      county  \n",
       "0  b'Washington'  b'Clallam'  \n",
       "1  b'Washington'  b'Clallam'  \n",
       "2  b'Washington'  b'Clallam'  \n",
       "3  b'Washington'  b'Clallam'  \n",
       "4  b'Washington'  b'Clallam'  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Locational information is stored in either 'meta' \n",
    "meta = pd.DataFrame(f['meta'][...])\n",
    "meta.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:47:46.899747Z",
     "start_time": "2019-02-06T18:47:46.896662Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('uint16')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Datasets have been saved as integers\n",
    "dset.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:47:51.066179Z",
     "start_time": "2019-02-06T18:47:51.062426Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.153937200000001"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset.shape[0] * dset.shape[1] * 2 * 10**-9 # 9 GB per dataset!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 500)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset.chunks "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset.chunks[0] * dset.chunks[1] * 2 * 10**-6 # 2 MB per chunk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:49:17.786073Z",
     "start_time": "2019-02-06T18:49:17.671184Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To convert dataset values back to floats use the 'scale_factor'\n",
    "dset.attrs['scale_factor'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:52:13.089310Z",
     "start_time": "2019-02-06T18:52:12.342907Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wind_speed scale factor =  10.0\n",
      "wind_speed units after unscaling =  m/s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.5"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# wind speed on the other hand has single decimal percision when scaled by 10\n",
    "scale_factor = f['wind_speed'].attrs['scale_factor']\n",
    "units = f['wind_speed'].attrs['units']\n",
    "print('wind_speed scale factor = ', scale_factor)\n",
    "print('wind_speed units after unscaling = ', units)\n",
    "f['wind_speed'][0, 0] / scale_factor # divide by scale_factor to return native value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time-slicing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the time_index from the server and convert to a pandas DatetimeIndex for convenience:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T18:57:48.925869Z",
     "start_time": "2019-02-06T18:57:47.990623Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2006-01-01 00:00:00+00:00', '2006-01-01 01:00:00+00:00',\n",
       "               '2006-01-01 02:00:00+00:00', '2006-01-01 03:00:00+00:00',\n",
       "               '2006-01-01 04:00:00+00:00', '2006-01-01 05:00:00+00:00',\n",
       "               '2006-01-01 06:00:00+00:00', '2006-01-01 07:00:00+00:00',\n",
       "               '2006-01-01 08:00:00+00:00', '2006-01-01 09:00:00+00:00',\n",
       "               ...\n",
       "               '2006-12-31 14:00:00+00:00', '2006-12-31 15:00:00+00:00',\n",
       "               '2006-12-31 16:00:00+00:00', '2006-12-31 17:00:00+00:00',\n",
       "               '2006-12-31 18:00:00+00:00', '2006-12-31 19:00:00+00:00',\n",
       "               '2006-12-31 20:00:00+00:00', '2006-12-31 21:00:00+00:00',\n",
       "               '2006-12-31 22:00:00+00:00', '2006-12-31 23:00:00+00:00'],\n",
       "              dtype='datetime64[ns, UTC]', length=8760, freq=None)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_index = pd.to_datetime(f['time_index'][...].astype(str))\n",
    "time_index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extract indexes for a particular span of time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:00:14.646068Z",
     "start_time": "2019-02-06T19:00:14.641059Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426,\n",
       "       1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437,\n",
       "       1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448,\n",
       "       1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459,\n",
       "       1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470,\n",
       "       1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481,\n",
       "       1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492,\n",
       "       1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503,\n",
       "       1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514,\n",
       "       1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525,\n",
       "       1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536,\n",
       "       1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547,\n",
       "       1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558,\n",
       "       1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569,\n",
       "       1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580,\n",
       "       1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591,\n",
       "       1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602,\n",
       "       1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613,\n",
       "       1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624,\n",
       "       1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635,\n",
       "       1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646,\n",
       "       1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657,\n",
       "       1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668,\n",
       "       1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679,\n",
       "       1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690,\n",
       "       1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701,\n",
       "       1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712,\n",
       "       1713, 1714, 1715, 1716, 1717, 1718, 1719, 1720, 1721, 1722, 1723,\n",
       "       1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734,\n",
       "       1735, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745,\n",
       "       1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756,\n",
       "       1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766, 1767,\n",
       "       1768, 1769, 1770, 1771, 1772, 1773, 1774, 1775, 1776, 1777, 1778,\n",
       "       1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1789,\n",
       "       1790, 1791, 1792, 1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800,\n",
       "       1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811,\n",
       "       1812, 1813, 1814, 1815, 1816, 1817, 1818, 1819, 1820, 1821, 1822,\n",
       "       1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833,\n",
       "       1834, 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1843, 1844,\n",
       "       1845, 1846, 1847, 1848, 1849, 1850, 1851, 1852, 1853, 1854, 1855,\n",
       "       1856, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866,\n",
       "       1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 1876, 1877,\n",
       "       1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888,\n",
       "       1889, 1890, 1891, 1892, 1893, 1894, 1895, 1896, 1897, 1898, 1899,\n",
       "       1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910,\n",
       "       1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921,\n",
       "       1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932,\n",
       "       1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943,\n",
       "       1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954,\n",
       "       1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965,\n",
       "       1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976,\n",
       "       1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987,\n",
       "       1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998,\n",
       "       1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020,\n",
       "       2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031,\n",
       "       2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042,\n",
       "       2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053,\n",
       "       2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064,\n",
       "       2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075,\n",
       "       2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086,\n",
       "       2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097,\n",
       "       2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108,\n",
       "       2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119,\n",
       "       2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130,\n",
       "       2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141,\n",
       "       2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152,\n",
       "       2153, 2154, 2155, 2156, 2157, 2158, 2159])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "march = time_index.month == 3\n",
    "np.where(march)[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or a particular date:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:16:18.978254Z",
     "start_time": "2019-02-06T19:16:18.973874Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4416"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timestep = np.where(time_index == '2006-07-04 00:00:00')[0][0]\n",
    "timestep"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Map Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:16:28.086246Z",
     "start_time": "2019-02-06T19:16:24.814153Z"
    }
   },
   "outputs": [],
   "source": [
    "# Extract coordinates (lat, lon)\n",
    "subset_data = f['meta'].read(field=['latitude', 'longitude'])\n",
    "latitudes = subset_data['latitude']\n",
    "longitudes = subset_data['longitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:30:40.930339Z",
     "start_time": "2019-02-06T19:30:37.902430Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.85 ms, sys: 2.1 ms, total: 5.94 ms\n",
      "Wall time: 13.6 s\n"
     ]
    }
   ],
   "source": [
    "dset = f['ghi']\n",
    "%time data = dset[timestep, ::10]   # extract every 10th location at a particular time\n",
    "df = pd.DataFrame() # Combine data with coordinates in a DataFrame\n",
    "df['longitude'] = longitudes[::10]\n",
    "df['latitude'] = latitudes[::10]\n",
    "df['ghi'] = data / dset.attrs['scale_factor'] # unscale dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:30:40.935891Z",
     "start_time": "2019-02-06T19:30:40.932229Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(52249, 3)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:30:50.703645Z",
     "start_time": "2019-02-06T19:30:44.870411Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x='longitude', y='latitude', c='ghi',\n",
    "                colormap='YlOrRd',\n",
    "                title=str(time_index[timestep]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:38:03.467178Z",
     "start_time": "2019-02-06T19:38:03.343285Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>elevation</th>\n",
       "      <th>timezone</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>40.490002</td>\n",
       "      <td>-124.379997</td>\n",
       "      <td>158</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'California'</td>\n",
       "      <td>b'Humboldt'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>40.450001</td>\n",
       "      <td>-124.379997</td>\n",
       "      <td>160</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'California'</td>\n",
       "      <td>b'Humboldt'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>40.410000</td>\n",
       "      <td>-124.379997</td>\n",
       "      <td>281</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'California'</td>\n",
       "      <td>b'Humboldt'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>40.570000</td>\n",
       "      <td>-124.339996</td>\n",
       "      <td>60</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'California'</td>\n",
       "      <td>b'Humboldt'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>40.529999</td>\n",
       "      <td>-124.339996</td>\n",
       "      <td>201</td>\n",
       "      <td>-8</td>\n",
       "      <td>b'United States'</td>\n",
       "      <td>b'California'</td>\n",
       "      <td>b'Humboldt'</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      latitude   longitude  elevation  timezone           country  \\\n",
       "167  40.490002 -124.379997        158        -8  b'United States'   \n",
       "168  40.450001 -124.379997        160        -8  b'United States'   \n",
       "169  40.410000 -124.379997        281        -8  b'United States'   \n",
       "221  40.570000 -124.339996         60        -8  b'United States'   \n",
       "222  40.529999 -124.339996        201        -8  b'United States'   \n",
       "\n",
       "             state       county  \n",
       "167  b'California'  b'Humboldt'  \n",
       "168  b'California'  b'Humboldt'  \n",
       "169  b'California'  b'Humboldt'  \n",
       "221  b'California'  b'Humboldt'  \n",
       "222  b'California'  b'Humboldt'  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Full resolution subset of California\n",
    "meta = pd.DataFrame(f['meta'][...])\n",
    "CA = meta.loc[meta['state'] == b'California'] # Note .h5 saves strings as bit-strings\n",
    "CA.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:38:14.050394Z",
     "start_time": "2019-02-06T19:38:09.966272Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 14.1 ms, sys: 10.2 ms, total: 24.4 ms\n",
      "Wall time: 13.6 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(25981, 3)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time data = dset[timestep][CA.index]  # full-resolution subset\n",
    "df = CA[['longitude', 'latitude']].copy()\n",
    "df['ghi'] = data / dset.attrs['scale_factor']\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:38:16.260753Z",
     "start_time": "2019-02-06T19:38:15.367784Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6bqqHot7Abw46Hst//TtHYKAnpByOQLROirCTdHhuy2b33LTn0vhEmbF8kuXlJCqHJhQNaJJhzg3JyFndWXkY8tLHzqsgVCVBCl2w6VOhBAoiNEBoQHhEJi/bkgd9CKdoPgacxIRjY/IK9mnSJFrLDcs091VwEPvk54DfjrA9vC0AWohnWDfP65EoU2Be4OUlf8KvTvgUXnrg99j7q59t06OEhISEBIMJJ3Yf+chHcPjhh+Pggw8eNu+KFSsghMAmm2zSNk+9XsfKlSu945XAs//5Q6z69e/sJMWJBD8PJ26B+GRnoCL5DDh54ecoz3kZhtAYwmIIRoMdTfikR0Kz22p53gOgxtIqsmyT0AdQqjKluqMgUMARJtOWgvXFtDskZDE1JUZk+Hhx8hKWERsnTnxCghKe87rbtcO0xXzPvF8iSDMkUQTPGDLD+24+//i1b2Plo090qD0hIWFDRkzJHcmRdFuHCSUz119/PR544AEsXrx42LxDQ0P41Kc+hWOPPbbj7teLFy/G9OnT7TFv3rzxbLLFs9f9NyQI1XLqE9ATfila2AksfGPnCMkKJzIIzvkEKIN7Eq3KAVeHuKnHnHM1iZdhCE2lLL9i+6EVGSE0gbFtJm364XWavhRBu8IJm5MxLrcOt1wxJIEheeDESUae4+ehQhYSF4X2CJUm3jfTP6D1O+N1h6SWt18AePqm2zq0ICEhYUNG8pkZP0zYWDz55JM4/fTTce2116K3t7dj3maziXe9611QSuHrX/96x7yf/vSnsWLFCns8+eST49lsi8YTTyGThJrQE74ElSSA7Ft4qBYArRNqO/NFN5M5vw5VB8CZd3I4NcaYnIwiEwP/T9LNfxgqa+fmktC0EqoyGRxRiikaMWUK8Cf+mOktrCskGkC83Bj4+HQyNfFyDSkMSQ1vC/9dxEgYb/PKR/7SRUsTEhI2RCQyM36YMJ+Z+++/H8uWLcNee+1l04qiwC9+8QtceumlqNfryLIMzWYTxxxzDB5//HHcdtttHVUZAOjp6UFPT88r3XxkRY6q0NNaldwPK4fwfC7M5MbPgVZ1IfQZ4Z9hujnnporQH4TgiIxi59y3Jyw7NMeE90t/ZN1ecu0O2xub3E3/Q/MSLyMkCTJIC/sZIzGhQuK1v0wLFbBYf2NmpuHMTbzdIWEx56G6ptA65p4pKuMGxISEhISEGCaMzBx00EFYsmSJl/b+978fO++8M8466yyPyDz66KO4/fbbMWvWrAlqrQ8iglyzEtVMT69FLgECJBFq0KtdJIQ1OXFywyc0jlh6p0k25tfBfTAQnHPflbBerg5w5YTnNauWIFrbGTMlAT6RITg1hisnvC+StbGd82+IkMSEikyo5IRtjZGocFxVkC9GPLjyFtq0zXnMpBXLb+4VAKA6GboSEhI2ZIxVXUnKjMOEkZmpU6di/vz5XtrAwABmzZqF+fPnI89zvPOd78QDDzyAH/7whyiKAkuXLgUAzJw5E7VabSKaDQBYfuV3gBXLUakQQBIVRRAKgBCoKkIOQIAgIKwyUoE/McYmUY4YueErbQCfLHDixCdEQxJC8wt3+I35yoT/ySwJoLIOIVj7da0hqQhJgSFLpu2mHVyd4mYaPgaxKT1UQ8wnJ2cI8nBnZF43RzjOPC1sa6gExYiMIVfc0Zd/Nzl88mjyZgCoMF5NCQkJkw2JzIwfJnxpdjs89dRTuOmmmwAAe+yxh3fv9ttvx4EHHrjuGwU9ubzwhQtRrRhPEUKlAKTQE70ioEpuijQTuHnT5qagkNCEfjXtJlrzLC+jndqTlfWGBCN0UrYrluBWM/GJm6D7Zs1M4I7Awv5rnuETtqkjNvmbskx/DOEI+xxe8zFqZ94KCRFvV5g/NCXxcWo3trEjRmzCe+Z74aQ0bIu5n1XW2/+iCQkJCesN1qu/lHfccYc933bbbe0qmfUJxUvLIVe8hGomy5U9hGpFolCazRAAVc7Gkkx8FedHY4hF6LfCJ90YiQHLb/KasgBHFnh5oRpjJk1eTsY+DZnhkzCvW0FoYhJ8Le0m9ZB0hY6wvO1g4xKSvE4mJ05MQqe4kOiYckPVqF25IbFpRxa5eStGYnhfw2c5EeXttSaoFDQvIWHSIikz44f1isxsKJBSx1xRBFQrBKUIQhAkCCQqUESQglAoiVwJKLgIt03oQTeRd1Gmc9WmnR/HcGYm8yw3I5k8xl/FEAYzqddYWTW0TsqmblODIk1mMjbHxpQOPlmDpYfKBTeP8TLCsvlnFlxz01o7xSSm3vB2hf4svGwEeYG4b44ZNzPOYX9NWRn074ATLFMmhwSAPEdCQsLkRCIz44c0FiOEKGV/KTWBqWaEaqZQqxB6qoSeijuvVRR6BKFXEvoloRdko+r2AMhAqEErInw5N3+T55MuV3fMOZ9wQ1WHqwJ8kjXExiyNrkITmbANoZnJmJZsOpvp25GFsA1g51y9iKGd6SckdZ3McmF6bHxidbYrhytdnPSFilZIZDTZIUZ8qCXODoJrCaTtDBISEsYVTz/9NN7znvdg1qxZ6O/vxx577IH777/f3icinH322Zg7dy76+vpw4IEH4uGHH/bKqNfr+NjHPobZs2djYGAARxxxBJ566ql13RUPicyMENmMTVBbsBukIGSCUMkItQqhViX01Ag91QK9VYWeikJvTaG3otBXUeirKvRKQp8k9EhCHwg9KLcIQHsThUE4gYdkJqbQ8C83XKlkyIyMnIdmptB/xPeXaQVXK2IOyKEZqBOZCQ/eDgTpnZ7p1NZ2bQ/Vl5CcxEx4oROwSydLYsBIDX+Gm/ws6akm8TQhYbIi9vdipMdIsHz5crzuda9DtVrFT37yE/z+97/HV77yFS+q/gUXXIALL7wQl156Ke69917MmTMHhxxyCFatWmXzLFq0CDfeeCOuv/563HXXXVi9ejXe+ta3opjABQvpL+UoMPu8c/D0Ue+CbOQQAqjUAKkI1QogBAGCUJEKIIBIQAhCLSNIkaGeEyoVQjOXKHIJUU5sBB2jxpiB9Iqo9hM4gvPQUTWcyM3kyP1XDHkJ/T74fY7Qj0QAdnUTr4dD8rzwyULMsTbsV7vPMB+CvsXKixEX00b+aQiYIY4Z+wwJR4U9mwWfsixNApDCOVCbcQvrN+fe99hoIiEhYXKi08tct8+PBF/84hcxb948XHXVVTZt2223tedEhIsvvhif/exncdRRRwEArrnmGmy++ea47rrr8KEPfQgrVqzAlVdeie985zt2G6Jrr70W8+bNw89+9jMcdthhY+jR6JGUmVGgd5/XYqtbfoiBN+wHAKjWgFqvQLVPoKdPoK9HoX+aRP9UgYG+AgNTgClTgYHeAv09CgM1hb6aQp9UqJVKTRVapakw/xqD4RSGmBoRUzJC5QbgJpD2Ji6fJLkSYqRqOLRrY8zc00ldCYlVTK1pt4EkR8wcxs1tRjXjZjlDVsyqr0pw3701OSID9mkIDdBKpGJtSkhISOiEcD/Cer0ezXfTTTdh7733xtFHH43NNtsMe+65J6644gp7//HHH8fSpUtx6KGH2rSenh4ccMABuPvuuwHogLfNZtPLM3fuXMyfP9/mmQgkMjNK9Oy2K+b8n+9Czp6NSq9EtVeg2p+hNiDRO0WiZ0Cgb1qGKVMlBqYB/dME+vsUBvoJvb2EvppCb4XQVyHUJPedEd4kNtxkzidxPnnzHbsJrX42nLSEK2/a+d54dQf+Mu2Uk7AP7cgMv+amtHZlxu6bZ8PdqMPzsF+huSc0xVXhVnrFiE1sRVMGvZeVLImL2ZwzJC3tVCrbpkqKAJyQMFnRzjTd7WH+ZsybN8/bk7DdfoePPfYYLrvsMuywww746U9/ilNOOQWnnXYavv3tbwOAjeW2+eabe89tvvnm9t7SpUtRq9UwY8aMtnkmAsnMNAaISgUzLroQg2ecBCqArE+gQhlkQ6E6IJFVJEStgCKg1guQArCGUK0KZKsVGk2BojRF1QoJIm1eascwQ3NNOyLAiYwKDmPRNKuYYhM60Epw/MnWn3ZjPiv8mj/BFaJY+0cC3gq+DJwTIpMW28STl2PaY0xM5jkepZgH/Qudpc2+XNbXRbpeirISsoMoynoJqiSvYTtMn0iNdFQSEhI2FIzXaqYnn3zS2+qn3ZY+SinsvffeOP/88wEAe+65Jx5++GFcdtlleN/73mfzhQsPiGjYxQjd5HklkZSZMaLvTW9E1teDrEeg0ltBZUCiZ2qG2rQKqjOq6J1RQc+MDD2zetA7PUNfv0C1X6K3T6CnptBT0Q7EFUnIoHfhluV0FhKAUMmI3SuCc05iiuA+R+jgCvjMP6wTMOoMefc5KWjXXv+p9ue8bbHrTua1kODFfI5CRcaRErfCq6f8rLLzGruvFRr9vWWl8pIJQiYBKahUZNyO41yl0XXrVoY+N6ZdKQJwQsLkxXg5AE+bNs072pGZLbbYArvuuquXtssuu+Bvf/sbAGDOnDkA0KKwLFu2zKo1c+bMQaPRwPLly9vmmQgkMjMOEAMDyGoSlZpApVeiMjWDGMggpmSoTK+gOqMGOUWiOrWCnqnaJFXpBXoqhGpFr4jKMjcZmn2d2plZQh+QcMIO7/HNJWNkIXT+Dd8WQtOTCO6EZh7ANxXF1Jpu9AZOsDopKuG90LzE64uZmkJn6JDQ8IObnPQnWd+ZDIRM6kOAIGVpapK615bIwHke6f6JcuypXPXkfKeSmSkhIWG88LrXvQ5//OMfvbQ//elP2GabbQAA2223HebMmYNbb73V3m80Grjzzjux//77AwD22msvVKtVL8+zzz6Lhx56yOaZCCQz0zig8vcHgX72/yArAqInA1UA0ZdB9GVAj4RsKlBNoDKgkNcViBRUI0OlkpdmpnISFAKgOHng5CDmHMz3fDK7ZAPxiZ2DqxNGmeCmlnYw7QjJQjvS0g1rDsmSWVHE+xU6J7drW6wNsfpMeRW4iMo8KF+1LIWbmfiqKSEIggQyqckLUPrJlDuqkwBEOaCFAnSUaGGf02NOnm8NdDYt28r0vpGQMFkxXmambvHxj38c+++/P84//3wcc8wx+M1vfoPLL78cl19+OQBtXlq0aBHOP/987LDDDthhhx1w/vnno7+/H8ceeywAYPr06TjppJPwyU9+ErNmzcLMmTNxxhlnYMGCBXZ100QgkZlxQM/7PoTGL38IUSGgJiBqAqgJoFdCKILIBFABqFei0iOhCqCoELIMyBQBJKyzaDhhm6XaYGmATx5yOJ8Ofk1o3ecojInCnVetaQNxX5mwbnPeiWghuJZt7sX8dkx+CZ8UcbKTBWWMBCZ/bExMC6rQBKMgTToyKaBIKyvajCQAUqhkBCmFXnItdARoIr2DOoRWX1RJcIQAqNDPgwApRKnkuDZZf520NDshYdJiXZOZ17zmNbjxxhvx6U9/Gv/2b/+G7bbbDhdffDGOO+44m+fMM8/E4OAgTj31VCxfvhz77LMPbrnlFkydOtXmueiii1CpVHDMMcdgcHAQBx10EK6++mpk2cQpyYLWxw2QxhErV67E9OnTsWLFCs9BaryRn/sRiAfuBPok0CNBPRKiT+qZKy9jzixvIn+pCaor1FfmWPt8E/U6kDcFVq6tYG1dIC8kBiGwBs481EQrYeBqilELDDPN2ad51nwadaEC3/eD78sEVgdXRhDcD/106qzN9aDNYfA5Tkq4ymPMYbJss7lXsHPJ8shImTGfn1Dp4odpm+/k6/xYhCA9dhKoCKBQBCkEZFaODhGqmf6q9VYW5hw6zhD0uSJDdoC8EC5GDxlTVEl0yD2/2QlHY+dvnY+EhIR1g3UxZ5g6vo1Xoz8aGas7rEWB9+Evr/j8tiEgKTPjBDFztj6RAsgAkQkIIUBGcskVRCYgMwElASGFPsoZVr/N6ws+YZvrmOrAd5k2ikxokjLgwd54PBS+tJgTAT7ZU5DO6zd1GALFFZTQxBT6wITmo7CucLdtFXk+JEbtzFAiODdjYa4r9rzcZqBsTFZuWyGFsD4xxqm3mlFpgBLOT6bshTEZqZLvyFLCIgGtxEkCKZ2XhNCqTElkpCw/Acha+i+akDBZsa6VmcmM9JdyvJDnbL2uKBlCSVakAFUEUE5YmsTo6ZWUNkcAsNGCJQlvQg9JCoJzc22+TGNaCk0zAk6BMRN4bCsFwDijhjt7+86+pt52K6RiTsShOYerLcSuQ9XGqDMhIeJmqJiZzNQdEjLe1xY1RpJ1dhHlyiTr15QRsvJ70n4ygFKG5GgTFEofGKVE2SDShNYoMUITGSXK6M/CjbdptDLnzbTRZELCZEUiM+OHRGbGCwJATWoiU5H6vCrKmZUAJTW5yWT5mg6g9L0wO1GTnYY1uLMpsU8+6Zv7BbtvFIxQGcngdsY2ZCa+J5TxCYGdgAVayUqnFUtcKTHpfLUUN4+Z/AT3gzREh/cT8IkML4ubssyYoM1njFRJkFsuLfR3YYiMEICUhIo05iAFKYBKpp9RAlaxyZX+uoWV17TPjCJAlMRGCOFizgidlgVmJkvKxKS2AickJCSMCxKZGS/UKkCP9pdBb3lkopRJpJ7NMlnKAGyCKmdZgp5EC4gWMxMnBHxqC8lETMEJTSoS/maSrYdbNgyUShJjMyFxafcZkhmuhoTKSpjPpFfgiFlocouRGQTXIiiT12fyalXGrCYia/aTJTnRTrlagYEwUX31vUwQhOaopVmpJD+kDU2yNCHpNjily+SVpRRDZpyF85expKaalmYnJExWJGVm/JDIzHhhzfPAtAzoyYCqgBjItELTUCWhUUCP0B6kFaHf0gEoRh2MuQnwJ3zAkRRDJPi2BNx3hV+HcWMMqYltMmnJB2MygrEBM8lyQoOgbsBvb9gHvnklP+d+MQV8QhIqN9x/JuZPE5rGwv/soXkq7LfxXeHtNmlmyTUnONrM5AgOKf2woDK6b7kEG9KsYGJjC+cj4405+HiHBsWEhITJgkRmxg+JzIwD6Lk/AM/dD2yujThCAtRfgahIQOba+bdaA60uIGoSQlQgKwUghH2zL0ti1CZ2ZnL5pCYkM9w/hD8fkpvQZMM3JrCKRklkdCHODNbO+GHKMuQig080QjJj+hFbYs37EJIzk8aVHe7Qa9JiVCDsc0gwOJkxYyKEM715+y3BbF3gCA+VJiVVWFcZTXC4VOT1zDmC2zaacU8RgBMSEhKGRSIz4wC69zvArCrEtKoOSAJA9FVKx49yGhYA+jK9dFsSspqArAjI3Jk2IDSdoXIKjfmihOlhQDwZ5OMTeztzS1l11JQFuInVOipHxoArMpx4CMRJFH+GO/FyPxq+L1LYh1j7+Xl4zdNDxctuLyCCZ1h62HMh4ZmDDKQgq7ZZlcXeLQ1OxMvnyhyrvyw7RQBOSJi8SMrM+CGRmfHAi0sgNqkBU6tATto/pr8KSycUaUeKKRWgN4cUBNmTQVbMRElO+IBPKmKkph2R4Y6vfJNEjnBCD8styKkL3bqehkoKJ1KceITqSUgsPJ+SoD/tPs156KsD+I7Qph0h0Qllr1Ah0SQOTlmxN9wYxVQVpcBqdkSFynNFPhEKoz1ZM1OLLpeQkDCZkP6Hjw8SmRkP9APo7QWm9gDNAmgqoL8HQgqQWFs6giiItQWoL9NCTS2HzCSkKNhkaBY/ixbzSDt1Jtwlmq9+Clc1iTblmOfItKCcWc2Ea/xkhkNISviKIZPOFRhOqEL1JDw3z4d18ed5OUalCss293g5xDI5EqEzUkhg2INtn4NTc8xmnFZtY2UoJby2hyBC2mgyIWESIykz44dEZsYIevEeYEoVEL0QfTUgz0F5AfT0lrO6Kk1PBdDTBPozvdy2Cr2XEzNXmElv2DrbHPx+6G8SK4MrM3rKFIHi4aQDBeHld3lawVUQ/p9VRu6FVCSc2EPCw01OMTWmGwyXnxiJMYSESC/BFuUWBVxpsYoa+aUb4mKed/GEzL3S7GSfDdqZlJmEhISErpDIzBhAqgE89X+BKVP0NNzbAzQbEIUCalVoE5OCaOYglQO1DKJHggqhVzrxlTPCmXdCxEwrnYiMiNwzaZwE8AjCfswX4dEqbroKmxcz94SmI16Ou+blU0sfQoSmpFCFCdsSa18n2HErC3MmLua/RIA0ZicIKJAOGeQpa2V5jNhoEuPOiZXBTXwttI0AUUn/RRMSJiuSMjN+SH8px4I1f9UbSw4M6FUntRqQZToacKUCCAlBBGAQoiijAFdFGW/G2SeMeUKhJDXkCEEGvUdRO8UCaJ382ykx5jM0QRn/FD+mi2DkR3jPhnXwMmJmIn6YSLvcDOMTE48dRE0wnfrOn2mnVoX3FJX9jBRm+0u8LWWk34B8lpueM7LSagAz+zWZjRCMecqVw5QdAKqZNppMSJisSGRm/JDIzFiQv6zJS7UHqKhyHjI2I6EDiGSZ/ixyLb1k5T1jxpBuipTlI7IAJKhUS0SUFPAJPUSYHio64XlIUnxHYkNkCHw7AyAeA4YrM/zcqTJkCze7hLsGGargE5p2/WoHHo/HKz4oh2AD9Don3zZlcp8YQzzM9gWZ2ZqCmZsIXIFpJTjmvrvX+q1pcpTMTAkJCQnDIZGZsaBabolerWhlhggQBXSgGaUDjZhZrCjKecxoGCg3mwTMlCWEi0RrFJHQNBQSBEMSzD2TP1RIEJzH6UJrPe6zdV+m4SBbPsn5B5UTu43DYsqnsF4fYZtjhCVGZMI+IchnlRebQQAiTiUUuVgzgHOYbtsmtqQ9RlpiK5qsWpPMTAkJkxb67/4Ynu/2j/FGgPSXcizonas/RWmcIUZelNIERhValanXIQoCFUrbjcr4MmYPQiH0nj0C2golS8lCQmcPSYYJOmfMQ4Az9YQB8WJqDC8rJDahOavFLBPUF3uOP68/GZGB6a97kMo9i+y2VZHyurnuFC/XlOn3SZt8DEHxVyW1o1OlumJMTTBEREf8NX4x/gjE4Cs6vHxLcIoUATghYbJCCoIcAyORpW9dQjK5jQmiMg2YtndJYBQjMAqo14FGwx1NBWoUeifCwQIoSE+GzKYjrTJjYrKQjc1iPg2R4RtEZuwe36IA8JWb4VSNEGbC546/4ZYKw45R+ZkJ9xZiiI0J4y/KPY70GLjnTPydtqafSFu7IUE8zSdjrVqWZypqez9UV8j3n2F1hBtHOlUnrqWptDQ7ISEhYVgkMjNWbPYON+PluT6aDaDZBBp1oD4EDDZAQznQKIA6AUMFqK6gCv2cUsJFmS1VmnAzSE5gwui64VEW02JuChWYTlF0Tf7YflDdwpRnyZTQpZrl6FKQ3tDR+AUJstsGoCRynchM2NZOpIXnCc1lqkMtnppkniO/DH9JdknD2g6Uv3UBNzv57dPlSJkiACckTFbw6OOjPRI0kplpzCjfnI1pqdnUKo0hNEUBahbAYA7UC9CgPoqhAlSKOMaSwH1G+DJts2ya2LkhMsSuuckoDEoXopM/DdCquoSmp5HCkhXbLrfXkZJU9lsHC5RCuxtr51yyTtCxdrQzofG0GEmL5iV42wt4WkzId0jfdfGBdJrd+sFrk+84HfrIxDxzqPyXRHrfSEiYrOj2Za3T8wkaicyMFS/9CAA5B2BVAHkB5E2g0dQRgYeaQD0H1hbAGn0UdQXVJORNs1xXv6WrcvoNSUboD2MmZENaiKWHpqV2B4JP82yMyHBSECMIvK1tbxCghYbSnFam2WXarHAJt9IoA5VkTrQUaR6JXYdEJ+AiI+5Ly5YDZSL36XVEhq9mcrW0U2zi6UIHYExISEhI6IhEZsYAylcAg4/CTsVmU568WZqbClA9B4YUUCfQ6hxYnWtlpk4omgVUrsPaK2Vcb4QlNwVaTTuGqBiCwd/bC/hEJdxcMkQsLeZvEiMHwxGAwOhi/WQAtO5SbQlAaXIq1Q4phFs6DdHSjxgh6cYPKIyO3En78J2W/edsu5gjsL1P7LDX/qjxe53qT0hImJzQf19GYrwPnh/HtmzoSGRmLMhf0p8CQFZ1tghVaFmhWQB1pX1l1moig7UFikGFoqmgmiVpUUBeaFNEoQRy0ucNuNVKfAURJwrcRwZwJiceeZfQntB0IgLtzDEhwnJ952Pn1Gz+45pzlJ98g0kqVwPpe8Ys5WxuhkCE7ePjw7WMdgpUbJ+nGLzNJMmYoriJCCxBr2ZSpK+V3b5AtPrGWFPTMH+Oqum/aELCZMVY/V4SmXFIfylHC/USoJ7U59V+oFhbRvbNnN2ooNLptwCtyYE1CjSotImpTlC5tk4VSkBBIC80kalDLxduQCCHm+y5WSlmUuGuoqFJyXNYhU9SQt8TIL7kOiQGYT0GbjNJ8lYxeWUInxSI8h+jygACgozvEEFKAbLL1Ym1Sdj2GoIStt1XiXwzHI/hY9rFEVVbhKmXbcNAwgpzJsqv7l/ZPqvShM7BuoUtq55MXxopAnBCwmRFIjPjh0RmRgP1ApA/BEGrQb0zAcjSZyYv1xuXM5NRZwaVPtYWKAYL5EMKRZPsKm5F2syUFwKDcIpMHYQCAhW4ic6saOJKjJmQQzMT0NknpF2ekAxwMtOOyJj00IfHrtKCk1MNiRFhYfDTuE8NQUfaNW3NSKdRSfwyptaE2zQArUpMSL6MGaylXWYciD3DBowTE28zSQiQ0vFrFPn+MxSQF35uxm70wnNCQkLCxodEZkYKIqB4DFDlG3OlD5CrgUpVb6tsti8gAikCGgpUL4DBAjSYo6gTVJOgcqXJTDnR5blEEwINCKyFXi7cgCYoPYjvPm0ma6Pa8G0IYmYl5+fR3WTZKV+ocoTkwBiDNCFxAfP8Zcl+eS11CP++AkFYcuPIARiRMfV7igorg7fVjaPz53HKkD9eMSXMqDEABfFoHLHhO2absEIe6SFH0CyZYnWIajUyMgkJCZMB4xI0LwFAIjMjBw0CGARUDlABISogWdXLdAgs/LwozUxKOwCvLaCGCEW9QNEgFA0qLVEChRIoSKAJoA5gbVlCHWWRQRN4/BmjPBTwtzWIiB6uC8F5SHC4ohEDN9NwYhCawUpOZx1+lYKNMQO0qiBeuz2VREcHhgJEGSKYVLmbNREkzL7boqUfvFzeVkNk/Bg4pgTeU7JthWglN/Yey+9IjGDmJU7A/G/E+6742ABpNVNCwiRG7KVzpM8naCQyMxJQAeBP+ty+RktNZEQGCGVlAx3dtyQzgwqoKxRDhLyukNeV9hG2QYMFcgKGINAsfWUKAHlZbY5WPw8eGdhTC9D6Aw/NTuaTm2S6ITIxpYKrHZwYlIKMjfIL+MqFNR+RT2r4XC+Mv0xJaFzEYJ8gWGUEes0TNzPxdsfaDBBbXeXMYGGb2YZSXqGtDsHOzGSIDH8khNn+IPQpsmYslbYzSEhISBgOicx0jQLA7wGql9fO0UEIAZIVoGi6mVyVZKaugHoBNaSQ1wuoBqAaOr5MroQ9mkB5aKdf4/Ypypqr7JqbmUzgPJMvNIfEiA0nL+EE20m05MpG7NqWwVUMz8O33KSRABLw92FqU7FnmmJFSakJjCIByVcOwSd4Mkjzx4+cX0+wqaRndmp5/RHgO7z5G0k6k5LJO5wQ7PyKXE6zQ7mspKB5CQmTFoHpPWH0SGSmaywFaC1AJiBMmUylpwoP62qiASsCmgA1CKqhyUxeV2jWgUZekphcoFk4MmOMCgqtK5cA38TEyUxojjJ+NC1EI/g09bQjP51g2hb66nAFB6RNQNJM8gUgMrJxdOyS55aSy7PSP4bv2cS5hIkWbO4b8sTLUxB6x264MeHOyb6Tsm9y6nY8PNNdoMjEcgvTMXvt101EUArpL11CwiRGWs00fkhkpluopWX8mKY2N5ECKHfXqgDyIVj7UaH0ZpJN7QCsmgTVAPK6QqMJ1JsSjVyg3pQYUs7ZF/BNSD3suoK4uYT7ypjVTQq+UmPuG78Wf7J39zsRG4+kBNcmr40Xw8xAmdDDoQioSAFFepUPILTzWyliSWl8Tqg8d+MBckRGloOgynRDdogIolzCbfqix4D0snVjFoJeRa8brgto3TWArLrE0fmPh9FXYjTSJ0wFcbOW7reUbByNia6ZfGYSEhIShkMiM91APQvQUEla6uVnE9pm1AQVuSY2Ra73Y8oLICc9YzWVVmaa2l+mOQQ0C4F6U6DRFBhSovSVcWTGbBjZA21eMkSmCkdmQkJjnuPmqJgJyRAeXkboR8PJTOgfwz9jZXKCYw/SykgBHTuGCqFjteiALa5+5jBjfFGMchJCm4WEbQ9fWl1yIh2Qzyo4ZR22TGbSCcoPlRpbXxsm0yrCxDPa8SnNWpZEUas/kAlXJLP07pWQMFlhNtcd9fPDGrE3HiQyMxwoB/JHSwKTazKjCk1kiiFQMQQUdaBoAHkDaDSAXOk36oYCGlqdyRsK+ZDSyU2tyNRLIjMEbWIyRMCQllp5CDgyE9tzCSwtJCKGaHDw2DQhQeEmo07/TSg4N1pEuCGmrktYlYQIqAgtbAmUPi+l/wvgb7DJAuuyGDBsWwS4ODPCRNIVBGlJEiGTrp+cbBmVx9RjxzA0ZwnX25al5d6IxIPhsWq0nxBYPw3pkj5pMxYoAUDU0n/RhITJCinci9aonh+/pmzwSH8ph0OxDGiu0a/4RQHkqwEQUOSgfBBoDmrzUnMIWLsGqNf1LtkN0htLDuntC5qDBfIm0MwF6rnEUCExSMAgBOrw1RKjxBgyAzi1JoyTwg0afKm2TyYcyYiZisK4LBjmHq+Dl2lMWzpN74DdBFAD2fpVKcWYPFUQoAQKECqmZYxlGZOVddIt//MXZR53z5mQjEON86MxzwqPECnlq0AhTN1WNeFjEzxDJetSloiF5Makd5dm62umCMAJCQkJwyGRmU6gBlBforcqKAAqGkBztdYCSGmS0xwE8jowuFaTmaEhYCgHBnPQmkJvKjmkoOoKzdJXpllI1AkYhI7y22Rv8BLOVNQDTWYK6C+K+8zwQ0HHWgHIfqEEYYkPD6zHSQzY/ZhvSMzkBJY3LM+oQARHajShESWhougmj7p9ApIAs02A8Gos62XKhTDqjjUpcZ3JV3eEcMu7DbkTAqDgGfMcXyZuZNwWwsFYITeTddw00vSZD2CEKNlrkWTkhITJjOQAPH5IZKYT6o8BzRWAGtSTVNEAmqv09KIKYHBlqco0gLWrgcFB0NomMKRAawtgdYFirY4rUzRIr1pSeg+mRmleyuEC3hlHX+4nU4Fb1WTycFOJWXFjJj2tyAh7bmLUcPBNGc11uHQ5JCn8fjvTFeCTGO43UwFQOGpg/3XB/kzAO7eCyO6DFHSAE5UWqQnuniw9hw0xsCQmNGMFz8VgVBrbBkCbs0w70UpmosoMTxetak/YDpE2mkxImLQQpaF8LM8naKS/lJ3Q/CuQrwE11wIg7fQ7tLI8J2BwFTC0FsibwJq1oJWDwGAOrG0CKwvQ6iaKIYWiXiAfKnfELgPkFdAHNy+ZiS0kMgaGaFh1gT1jfC4EORMT9xMBWuZ7gOXjJqmQG3DSEdu9m4IjD9JFmWbq4BO4hGgpB8FO0sZvxrY5JCCxNnMVh6cZ5YWdh6TD1keuKXbFPZnVVAIFU4Z4m/gWBbY8tBIpTmycyuXkHgmA8hQ0LyFhsiIpM+OHRGY6obkcaK4GmmV8maIBrH4ZZjkvViwHhgZBhQJWrQVWNYC1BWhVDiyvg1YVKIYKFHWzWlugKEzEk1BhcSYmvjQ73CARYETGTNRs5tQKijbT8HINKHIeKi2hr42ply/1DiMHmzKKSDpYesbK4WXY6T/CuIzqYcchVGoAywwEu2lXQ7UWae+H5dqIviYNvvICCCiQ3cGbkxmzxNpurVA+ZwiQVW5KlcjcF4AL+lfWIQRBCYBUWpqdkJCQMBwSmemEfC2oaAL11QAVQH0IWLNCz06FAlasAtWH9Cy+qgG83AANFsBLDdCKHMXqAs1y+4Ki0GSGx9sLTUbevkasGaGjbwshESyoHDkzU7tJnCsmgFNdQlLDTUyAIzgI8hK7DklMWBcnOrweE/GW7BkzM4X5bQH+HUNkHJ+hlmxerDqWxss1G0KKsj2lXOQsWoZ3kSh9jYkpLILdd/k9fYUEiMhXtAITlTXFVdJ/0YSEyYqkzIwf0l/KTiChTUuDK3UMmaEhYOVKvfkfCWDlGm1SggCtagLPN0CDObCyQLEiR2NtjmKIUOQ69EyhnCkhRlhi0X25GanFdGRMJtQ6QYPl5e/2oWpilYEyjW9YqYJ7pkx+L1ZmrC7+LII80YbzDAI+kSiVi3arhdqtTvLaFjMthelCC3IKQCbKlUoCkEKAFDH1xu2OLcu2mkDRbv8pYeNJEOuT6Q/xSgEdAJAoPj4JCQmTAmnX7PFDIjOdUN0UWPMUsHol0GiCGnVg+WodEA8C9PIQxMoCJABa2QSeGQTlAA0WaKzMkQ8qFHWFoql3xwZQ7uOjVx/xZdaG3PDl1zFiYMiFOZdkzBRmAg/8TTqcxxUSn5jI4NwQG24iCglRrL5YPSGsSYgieQngmwvw/ZDs82x1UjtCY+7F2hY679pNMGVJRAkwkfhUqbKZncGNmUnBRTcW0HtG2bawPihyKo4zd4XfnYBqJp+ZhISEhOGQyEwnDOwOvPBrYPVq0FBdL7le2QAaSscVea4BWplrMvNyE8WLOVBos1JjTYGiTsgbVIbyF6VjqJtwQ3IQ848BfHJh8sccfPVkaQLJtZmwg89YGldduO9MJzNT+Nmp7tCPpbNUWvZwBHoqJzXtJVxOjEIi42x2ioTeDB3luBBAhbZ9KTYIyjSRkSyr2MCQP7fwvFUlCuPSlDtpp72ZEhImLZKZafyQyEwn9MwDKtsBqx8ABptAvQBWNUGrc22PeaEOeqmpVyWtLdB8qamdQ5tAc61ejq1yHRBYqTJIW/lGzpdZA26C56abUCUhtK4qAntGMhITEo3hwOvhJi2glUDxNNNGCtJjEJHP2Hnsf2i75cyRnPazk88QL5OTCMWJDQntmEtaDjZOuloAIxCJ0rk3OIcjRKK8R+W5WfVkIh/DMzMFFJYISD4zCQmTFuGL3WieT9BIfymHg9hML7de0wSGCtCLDWC1jvBLzzdQf7kJkN5Acujlpo382lhLKMo9J/NCopHLUjUxQfidOgO4H3UY3C6HWwFk0viKIVMOAaiUJYeOuSO1qvJnQkLFSQyPLByavzopM7y/LepShITYLQ0i5YQwZXUranBnYrMBpjP9iJI8ChRk+q73mTIERUITE71CSxMfBUNYCSjzKSpVHbhl20ShmSloGwRUigCckJCQMCwSmRkOzULPRHWlFZkVOoaMGlJovNxEvlqhyAn5UIHGWk0DiIB6E1CFKMmMQFEIFEp40Xj5xMth8nCEMWlChUbfEy2mKMAnJjFVJ5xH25mLQpKjOtzn/Yr1MXzOKjTGwoNWEDQhiN30nh8Be+PqjPPD0STDjDknhf7WEOW+UHAmOONszb8HwJmZTPkCFChDYae4j1VCQsJkRNpocvyQyMxwqE3Xn0TAYKFJzaocxaBCvqZAY41C0Sgj/DZgfSQaDYGCBEgJNHOBXHEyI1p2rgZ85cWoMYDvs8IVnDA2DOCTjJBseKoFupvzOXnh1yq4F5qanHIUJzL8GUMSbDtb5m9Xexsu4+US5T9hm9sqRuT+JCjiYyusac+ch2oYSpMhsWdcP42PjK9XcTOeaNsbDVmtdryfkJCw4SL5zIwfEpkZDjN30J+Z0JtHEpAPKjTXFGiWG0iqJpDnWo0BJIgIzVwiV3pGzcvIv4pEi2oC+GYa84Zv3vK1+cgnL/weLwNwqg1F0kOfFb53UztiE5IHXq4M8nAy084k1K7NiJzH2mJODGHxnhHt1a7Wcl3tBOfzYoim6UfBnjfjxP/ThOa1mM+TUWT8f4WXrx1UM+9wNyEhISEBSGRmWIhpW4Lm7Q88dhdQG9LKSwHkDQXVIKgmodkUaDZ1UDylNGlpFAKK9LrdvNAqTVFOltwUYT5DQmDC//PzcOsBwE22fELlkXrDyTIMwMcJznCERgX5Y07I7cxMPA9PM+fedWSGDzeANCcC0AuIGIvhWxnYnbThm6BCNcm1w6wGEy3RjMO4OwS3c3jYr1Bt0mmuka4pPExgK/lURVqanZAwWSHBNp4dzfPJymSRyEw3eN1ZENV+0NBPgKfrAADVJKiCQAV0dF8AhZLllgUlsSFAFRI5aSfRHGTf9kNHX/7JyQr3vQhNSWDX7Uw+oZkpdi4Rn5ARpIX1hPdjz4QwhICbZrjCw+vRTrJlfYaYMEITmpMQkJjYcyYbJzZclTFtaLdhZuhzFCps4Wc4tkaRUXB+NLz8EFnaaDIhYdJizD4zY3h2siF8eUyIQFT7IF53JuSJ/w/4x5O1yYn9hggAleSlKM1JmtSUPjIk0ARZhYUTlJDEmImUkx5+nkfSYtftzDk8wnBLP9uk8zK8PgdHu3SubMRIWngd23065iwb1un1RcTPzdOtq4fiZYaEho9v7LzTdxOOQXifH/a3koziCQmTGmIMR4LDekNmFi9eDCEEFi1aZNOICGeffTbmzp2Lvr4+HHjggXj44YcnrI2idzoqh38E1Q+eAVkRENJ5QfB9l9x5SWpg3voFcrRO8jHweyFB4T4xCvFJNSwj9JkZzX+KmGkonPR5W8zEHOYP1Q5D0gjOATd8xrQ8ug1BeYQEqCVfUG7YM6v2RPLFyIptM3ySyftXAGgi/h3xndNNGU1WVg5ANdNGkwkJCQnDYb0gM/feey8uv/xyLFy40Eu/4IILcOGFF+LSSy/Fvffeizlz5uCQQw7BqlWrJqilGpV3noS+j50BIQEhgSwrXTzLKL8mVolZ3lvArYppZwLqhE75Q2IQU0RiGCmrH470hOQkXKIcIzAx8mXTSZt/nCnIqTKeUoPWMaXgGe+a9Shc9hz6DXVSYzgBiSlpnKwArcpLqMbkkWsFjM2gnpCQsF7DrGYayzESnH322RBCeMecOXPs/W4EhHq9jo997GOYPXs2BgYGcMQRR+Cpp54aj+EYEyaczKxevRrHHXccrrjiCsyYMcOmExEuvvhifPazn8VRRx2F+fPn45prrsHatWtx3XXXTWCLNXpP+DCmfPpfUZ1aRSaN7dPdN8t9+Rt6J1IylikrnIBHU0forDuSZ81zITnhE347RaaVjBnTnP4NWGJo6uEKTHluouoOS2SMgsPymd4JEW4y0DqWnKgNZ/YLlZsiSG/AJy5GkQmvkXxmEhImLYzPzFiOkWK33XbDs88+a48lS5bYe90ICIsWLcKNN96I66+/HnfddRdWr16Nt771rSiKiVWRJ5zMfOQjH8Hhhx+Ogw8+2Et//PHHsXTpUhx66KE2raenBwcccADuvvvutuXV63WsXLnSO14p9L/vRMy+7S7MOu9fMf3A15YTpP5xSamNFnxyNwjNO7HrkaCTEjOcSkMjzGcQW5nEP82kbBYWh+qG+eT5eZ4cwprm9IIeX5GJKTSKmKmKgIJdmwi+CrCRd3kPBDvniJm8OCmJKSshocvRSmRMfn7eLK8b7LrZaCAhISFhvFCpVDBnzhx7bLrppgC6ExBWrFiBK6+8El/5yldw8MEHY88998S1116LJUuW4Gc/+9lEdmtiycz111+PBx54AIsXL265t3TpUgDA5ptv7qVvvvnm9l4MixcvxvTp0+0xb9688W10gGyLuRh4/8mY+1/fRXXuplb601RGT4yhiSb0V5HBeSxPJ4SEhJ+Hae2ejxGZGMEKCVisfkNOTFpcgYmrFp5ZzpIQYRUYo6rY65KY6L2vUC6N9/MoxZQapf/TcqWm3SqvWDtD4sXb3+meJSeR8yI450SwSB7ACQmTFlKM/QDQ8gJfr9fb1vnoo49i7ty52G677fCud70Ljz32GIDuBIT7778fzWbTyzN37lzMnz+/o8iwLjBhZObJJ5/E6aefjmuvvRa9vb1t84nAKEhELWkcn/70p7FixQp7PPnkk+PW5k6QtRp2+O9rIft7S3OT3vVYrx6irj3SQ3IzHEITE59825GUbkmO7dsw7eHpXHWJLW+OqTOcAJlP7jeiAJhwK5akKK2n6HOj0ujtI/SKMnPt9kZyRCdQedjviS/PNmMTtj90co7504TEJqbkcEUmj9wvAKCWIgAnJExWjJfPzLx587yX+JhAAAD77LMPvv3tb+OnP/0prrjiCixduhT7778/Xnzxxa4EhKVLl6JWq3kuIWGeicKEGeTvv/9+LFu2DHvttZdNK4oCv/jFL3DppZfij3/8IwA9eFtssYXNs2zZspbB5ujp6UFPT88r1/AO6N15B+x61//D7/Y5AmJtDggdVE3BLYm28yeMeuM7npprxdLbkY6QqJgpWQXXFJwrxMviCMkLsfa3BoNr3z5eJ++P6WNIFrLymQJADYZcECQEhGLjpHdtLGPIcHIi7A7XRPrNxToTQ1+blWai3OiJmBkqRkpCdQmI98MQUdNXETwn0DoWZuuK8Ls013meIgAnJCR0xpNPPolp06bZ63Zz4Fve8hZ7vmDBAuy333549atfjWuuuQb77rsvgJELCN3meaUxYcrMQQcdhCVLluDBBx+0x957743jjjsODz74IF71qldhzpw5uPXWW+0zjUYDd955J/bff/+Javaw6N9lByy46/vIevUbtSzVmRr0pCWhGaRRO2TkHOyznS9NOxNI29VBiJOYGGLKkSEy7UwyvE1gn+1+3uZ+2C6+lLkol7JrhYacyaYkLoXSZhhFBKUEchP8joyJqoy6bFaYoYwBZNN1GbklMqLFqXc4YhOSw9DHhvtLcbWGqy/tvicCkKcIwAkJkxbjpcxMmzbNO7p9oR8YGMCCBQvw6KOP2lVNocLCBYQ5c+ag0Whg+fLlbfNMFCaMzEydOhXz58/3joGBAcyaNQvz58+3MWfOP/983HjjjXjooYdwwgknoL+/H8cee+xENbsrDCzcBQv/53uQPTWPpEhoQhOSGG5aAnwSAZZmEBIZwJ8IuWmDT55AnNSE9YY/inDrg24QM6PxSL/t+sJ9R5zZRSCH8NJy0g7C5pyvLspLsmLu6SXywhEcUyYZ8iLQZMQptlQ6bGc7NYojJDYxkxTgk5dwXEQtrWZKSJis0EscxnaMBfV6HY888gi22GILbLfddsMKCHvttReq1aqX59lnn8VDDz004SLDev2X8swzz8Tg4CBOPfVULF++HPvssw9uueUWTJ06daKbNiym7L4rdv/l/8Fv9zsaspGDAFSYXlGg1exkzBJAK9kIJ7tQDeBmDzNxmi/XmIYKlidESFhCQsPNVCFCM1lMwWnnKxSSBG5mMu0IzXEKAhUQM9/o3Y2MupKB7H9zUbagKD+zUuHhZjOjBAk4MhWSjxiJiZnxYtc8nfc5HLto/rH9rUpISEiwOOOMM/C2t70NW2+9NZYtW4Zzzz0XK1euxPHHH+8JCDvssAN22GEHnH/++Z6AMH36dJx00kn45Cc/iVmzZmHmzJk444wzsGDBgpYVyesa6xWZueOOO7xrIQTOPvtsnH322RPSnrFi6t/tht1/cR0e/Pt3Q+VK+8+QdggmCDuZchJiEF6HRMak8bf8jN3nvhy8PGL5eF0iyBf67vC8sTbFno2pMhn8ung/AH8VlIDzOcpglmtTeW4IhyYoonzW9w0yxMbdi5nm6pYS+UqMYs9xJSVETEmLfXexz+HGtshTBOCEhMmK0QS+C58fCZ566im8+93vxgsvvIBNN90U++67L+655x5ss802ALoTEC666CJUKhUcc8wxGBwcxEEHHYSrr74aWRbOLOsWgqh1l5rJhJUrV2L69OlYsWKF5yC1LrHingfxwN8fiwo10FACggQapVmDR4gNzUZ8gueTKQ/Gxs0W3AGYm7YA34xlfnKcdBB8M1CMzMQmY24qCf11wjqMz1CMPPE+m7QMzjm2hjgh4m0tQKVK4+D6RPZOOHZNEFR5NwzwFzMBhf0KyVuMiBIrm49N2B9OCAnA9ie9E3//rfOQkJCwbrAu5gxTxyNzt8RUOXpvj1VKYZdnnp7Q+W19wYQHzdsYMH3fPbDnHd9BJdN7VIpSXeATYOj4GU7wIZGI5eW+HeH9dioP95MxPj3D+fhwYhQ6KmeRZzK0EplQzQiVp/Dgm3SG5h93LTqYhlwAw3B5tPaZaY0REzP58b7ysQjPue9RSHRiJjg+9pzcyMrEvu0kJCS8cjBb4ozlSNBYr8xMkxnT9/87SFluuJ0RVKHNTSZAHBBXWELEVIIYoQlVFn7OJ1D+AwidkDO0mn34sm/e1phvC1eGRJtrvs0D7wsnbbF+h9ex7SLCfseIHn8uR3xsOWKrzXh/wjHg9fLvpID/PXDyY/otAVAzLc1OSEhIGA6JzKxDiCyDzAsIARSF0QtazR5AfFIN1ZrwvvkMzUJ8kgyXgWfsmVg+Xo5i6WZyDn1wQhUiJC+c/JiYLKYcTt5iviQhSeGIjUdIKMJ8vnITV69Ck1VIWEJly9wzvj6cOMng0+QLCY33XU5qI3BCwsaNde0zM5mRRKp1BCEEZhx5KGRsU0p0t2S307wWmjHamUFCExI3A1Xgm4R4ngpcfJzQfFRBq4kkY8/wcrkZSqDVrIXgPCRBoZkGQXo78xcfo5iZLbw2bQj7xvsdHjy/6X+YvxL55OMrwnrT0uyEhMmL8drPICGRmXWJeZ8/A1lNoiIJsnzlNv4ghsjw2DAxBcYgnOB5mpkMY74wsYmV+7OE92XkngzuhZN6FT6RCSf10DdHtCkn5o/CiQ6Ce6bN4TNhPl6uGbcYgTNH2B+ej5MSTkx4H6pBGVXESVIVQA+0s7MNrDjBO9EmJCQkbAhIr33rEL2v2gZTFuyINb/9PTJjYynX2RgCY9DOYRfwzTzmGb5CyUyOJg+POGzOzTPcRBQzM3GTilkizeuOmU2ML4xg+WNLx7lJxZQfu8dNMRnLG5qx+DU3+1Bwn5vNeHncz6dg5zyvuQc44mSea7d1RWhGy9hzZnyqbMzBxo/yFAE4IWGyYqxOvEmXcUhkZh2jb/ttNZnJFESewSwlbufzwREztYR+GNz/hRMArjKEphSwssJ6Qh+RAn655jk+iXMzUngv5oTM66y0KTPMmwVpod8PJ2Ohf48hQlzziKlbph7A9xcy+SrwyVjY1tAZuMqeNe0y5YfbSRrSVK2m/6IJCZMVQogx7Wk00fshrU9IfynXMaa/+U1Y+YMfI8+pJBmECgQakbzD+YZwEmTymkk3VDOMimCIDRA32XDVg/uY8Ik3VrchH5XgWcnu8ei+oW9LzC8mbKdJrwRt5ApSLCgfJyK87gq0iY8TnFDRMePHlZqQ6BD89gO+Y3VIVrlSw8kbHzfF0hMSEhISOiORmXWMaYe+ATM3FVj5YoHKIKEQBKEyDMGFdWvnK8NNGua6nZoS+nzw69hE206NAfwJtVPdIekIlRneB5Of1xOurDLjUEG8Dt4eTbbcCOr6RTmqsNeqvJYQXjtiBM8QON6+9nXHlDNiY+yojulnqFJx85MtJ+2anZAwaSHEGM1MabWjRSIz6xjNn/4IfdMEmqsJtQohEwp5LjCoRKkOEPJyom1HaPg592EJJ3+jYoRKDVh+sLyEViIVEg7+GdbNyw/bGKoxFNwDfPUnVEtCMxAndrosKusm1kcKzExUPi+ibeVO08TSAH/cYmPDVRVTdzgO/Dmzf5TZ2oKb7Ex7CwDZGKKDJiQkrOdIa7PHDYnMrGOoB+5GbZMMfaua6F+rkBOghMJQXaIBgiynPb6iCWhVUACfWPApLzQlhZMt/wwdjXlclnBZeGgKitVt6g+JWMycFd7j9bVTgGL9sOYvUbad2LXQ15YAkXG5Fi1molAtiZmJYmPtiBy5Z8q2gMzz5LVZm8rIIy98laVuJ1IE4ISEhIQukMjMOoZc/SzEnBqmDCkMrGoiJwANYCiXEARUlZ4Oh2CWbrsZLpzIuQmHT7qczIQrm2KrpDh54RN3uMkkzyuD+6FK0a7cGDkwbeFlhqQhJEMtxE60floiwx4Q1GoOMmVzPxVuzgvb5dpOvtlMlBuJsrol+zQZTT5fYSKPzCgAGQFIEYATEiYtxryaKZmZLBKZWYegF/+ISuUZqC17UKkTprzYRCEqwFCBNfUCsijNKw1hY8804Ss0gJuAQ8Ii4C83Nnk5YTCOp+YacJM1n8CBgCzAJyDcHNNO/QnJEm9DO4Tmr3Z5OYlqaSsjMbaMMoMlEgIQ5JSwmLmIn4dkTYVprHxLoILG8nsSpYJk2iH9tksBkEgOwAkJkxlCCogxBL4TlMxMBonMrEv871WQm9Yg+iVEgzDwXB1NISHXEKaszJEVFUhVIM8JDaWdRk0gvdDMYSZVs6S3XVh8EXwSWAyT8lmjOsTixsR8YEITETcThXk7EZNQneGqDy8/VmYnVQaAJgecVJQPuWe5c25r+0JiE7Y8g2/WMoSGSNdNQd2cpIA/i/LtDIAQpZlK6BYIAFmKAJyQMGmRXGbGD+kv5ToCEQHP/S8wqwrRX4MQAr1L65B1Qu8mGYZWFxCrCdVCoVkUGBrKkBOhCn/ZNlcKYqt8CrSuirFtQOtGkcYsxQPWtTMLcV4Qlttu4jf18LyxMsJnw/aHhCwL0gFn4gEcmbBlCPfBnwn72U7RskSRPUBA22ji/I8M/4OleQoxVQY61gT0FhdGvSEQSAFUJDNTQkJCwnBIZGZdQlYhNqkBm8wAel5GNncQ1SYga8DA8iYKWaCWVTBUV1jbkNr8U7RO9Fx9QXnOA9VxUwgnD/w6tv9TAf8HESozYzHPdvtsO+IUkhvur0P8gU4VM0IhSiIREhv+GSvKKjCmTWX5XB1qMTN1KF/bywlSkn1eCECpUoJWKQJwQsKkxRh9Zsb0R3mSIZGZdQQhBGjbNwHP3QnMmgFUCoh5dVRzCVEr0PtUHXnWQCaAgZcGsWqIIBTQjJAZrhrwjR2B1rk7VEJCn5nQQbdg16Hja6zc4RCqMt081035UdXGkBOmzpjyINx1rL6w3HYqk0EnM3db6VfoGkLVBoHzLwBkUqt5shrGBk5ISJg0GOtmkclnxiKRmXWJ3U+AuPch0LRpED0SWNUE6gBqTVReXUetIFQrQN+zdVRXA6pJLcoIJxqxIHXcVBQjMjy93a7cMVNTO9NSu+dM+QjyjBZhe3i6glNZFAVOzAGxMWmdiE0n8jjWnlh1xio5msgYwhWqTWLMI5eQkJAw+ZHIzDqE6N0EtOVCiPozwCabA5utBZqAqBFo3iB6VuagHoG+v9ZRez5HUfjxT0LVha9iigV1CyfldkQmJDR8pY5JCwlN6E/Cywj9ZBDJOxqEagzBX1atfWmE9k8qG2LbRj6JaUfAAB2Dhtq0kpONkTjfiaAHRpERgO9Pwx4QlHxmEhImM5ID8PghkZl1jf65QLEM6JsBMXMVKCegQhCznoecq6CaTVSnZKhVmmiU8mO4lNo6o8JXZhDJhyC93REiVGt4wLwwT1hXO7ISxrkZLbEJiYgmNY4u2PuklRrAER9GJ5wzb0lnjAoiQZ6jtH1C+J+jgfvjVW6rEBAZb2k2gCxLf60SEiYr0tLs8UMiM+saU3cD1j4MUZsKmj4bot4AqgKYMRVyZg7UATGQoVJxCoc5jIKQIe7wyxWRdiQhVGFCMsNNWQYx00toTurWh22sBIaXY+rmZYaB/rgaZOLLOFWFWFkuAB6PA+MtocboiAyvy7TK/v0SrtzQiRgARJb+iyYkJCQMh/SXcl2jf0egd0tAVoCeTYCsrmfO6dOB6WshVhU6Do0gKJLI4cgM4PvKVG2a2U5xeLLA1Yx2ZIbn5Qci+cJPXkdIiNopOd0gRmZ4Wusu06JUY7jKYkxQguUqP5lC4kUMZtdCtPPcGabt5MiK5yPD64t8a0IA1Iztp56QkDAZkCIAjx9SgNF1DCEyYNO364vaAFAbgMh6IfoHgP4qUJNAj9kyUcPt9OwrM5rUcHWhe8RISEtb2cHTwjI6nbcrl5c/HGLlhcvOeV4Ft1Fn3AnZHzPujOtUEnJxZUDsXtiaTsa6slxTX2Cm8kxOPI3fG9O6zYSEhPUZQogxHwkaSZmZAIjKLEAOQIgCpAhQdaDWA1QrQEVqQiMEKlVCJgiSnBpTgVuG3Q6dIpOEJqau24zOxKOd3w0nRO10jfBeN2Xz9OFNV35tzruGKSamBMGIjnTnLX5IjNRok1B8dHwTkiMtbjNsFyzPmpeYaUtW03/RhISEhOGQXvsmAkIAA/sBItNKDQiQGUSlnNV6JbIqUKkJDFQUegBUQKjAd8R1BCCuRESrZufdkpluuX87jcJzyg2OkdYRqzN27eoUkTaRrc8jGSWhkIIswZFC75skYNLdPb8PVKo2vGYAwl8X5ZmYhCMy9r7kBAtAWs2UkDB5YST30R5JmLFIr30ThepcoLEJ0BwEikbpWEH6x9mXodYn0EMSU9Yq9DclCvC9hPQvuCiLUqXPzEiVE8ApAOYckXO0ydMNQhLD6+SKTdie4dUWv46QpIWEL4RTZ8mqIkaxkRJQ5TIoKVyaec7cA+Dtt+TVL2C9eE35ZudsE/WXt8Ps52TSjJ+NyhOZSUiYrEhLs8cPSZmZSFRfDRRrQHkdKJoAkeYzNYmeKRn6+gT6agX6BaFXEnqhlyCbd/8CKHfXFlaVGc4kwxFTR2KqSSxvrHyuioQB+WIw5YXLy0da90j+P/v1kOeY61QXHYE34yqJcM9KaQJ36m0IBHy/GClY2WDqD1rLM0RHP+uUHXO+6qe3Ye1Df3CxcxISEiYNtAOwGMMx0T1Yf5CGYiKRD4Kag0BzDVCvA3mu1w9XBGoDErVeQn+vwpSqQo8AekDWX4bvps2Xbo/UD8Z8Wh8Ndj0ciYghJDXheajw8P2lRkNYum2f90O35IGpMYbECEcwtNOvNjUJaOIirWMwuZVJpSlKSmaCMsSoJCV8t2wwEgVwEuNg/HCKF1/GH/Y9HL/f+zCsuf93XfY2ISEhYeNCIjMTCFqzBMjXAvXVwNBavRFTrgApkPVlqNU0qemtEXokoVZRyECgkhaYlTsFqK2vTDuSEEuLbWDZDaEZTg0K94LqhJBgmXMKrjs9H+bznw+i7hqfGEtiOCGBdy8TVKo1ztdFCqPUOGIjpF+WFFyBcf40MRIDOCJDpHfXVgQM/uEv+MNBR2P1vQ8OM4IJCQkbCszS7LEcCRppKCYSjWVA3gAG1wBDQ0AzBwrtCVPplZC9AtW+DD2VAr0VhUrGnZz0bFyw83YIJ/h21522QhipUhNO0aEJrJN5q1372j3TDlFiY008TlkxqoyQhsCQMyWV5CWTTmmRklCRZO9JS1rIIy4+ifHJjVni3d7mTdZ8CGiCoxo5/nDwMVjz24c69DohIWGDgWd3HuWRACCRmYkFkfaVGRoCBteCcgXkpH1nahJZD5D1CPRUCZUMqGblJBoUE1NluBlHwDcfceUldr8TgYidjwYxYtPuk5+H7USQJ1aGPghuBZLvmGtUEkdCDEHRz2SSKzDaFGXyZZkmNRknQNYE5crg/jg8nk3YTzs+ZZhyIr70W4CaCo+86Ris/d/fdxzfhISEhI0JicxMJGpzgLypzxvN0swEveKlIiAyiUqPRLUKVCpANVOoSBcsL5wEuSkmJCk84B6PWROu8OuG1Ix1RWBsCXd7EtKZjIXt4/11z2gCaJQUo75wlcQnIszB15qWjMMvmHpTlls+k0n3TEX65MUpPeS9TBlSE/a/Zck5AUoBhQLywTp+t88R+N+/ewte+K8fjnj8ExIS1g8kM9P4IQ3FRGLaPu7XWCigIDebZQKyJiErAlkFqFSUVgEEeRGAgVayYfZtMoTH5A132Q7TsjblhUQmTB8JsaHIecxzpB2hciEWKCAsvN+8bS6SrwR5JqBS+2hVZ9h5JssyrPJiHIEZESpVG+ckzO+Vyo5RZ0x7OwyavVcOCpHQCg0bHSJg7cOP4tH3LsITn/ni8AOfkJCw3mFsK5nGtknlZEMiMxMI0bs1MOdt+sJGvVN6tqsIiKqAqAhkVYFKxTigspUxiE/0Ro3QRIWcMgFHYEJik0XLaFVKwK5jbRgOIXEJVzfFVKBWlYn3rbXNrs8shgxbXWRIRUg8RNkA7ktjVim55dbunlu+TZas6Py67Zl0DsRWfYmoMuGY+ueGcpXjVToE80CJz3zlCjz+2Qugms0uvoGEhISEyYdEZiYYYsbrgG2OBiqlLmJmv0xAZkIrM1VhJ0nrv4H2JhYB0n4d4OqLU3S4qUm2LaOVnLQjMGFgum4Um5DUcL+f2POOoOm+hSYk5xNTEhXhxipuWirLFf7hViWVeShYfs3IEch/Vqs4Jq8hPUF8GXRWZWx/hU9gWh/hOg3w3Fcux282mY+/fPgzyJevGL6ChISECUfy/x0/JDKzHkBs+RZg53frfZmM7FIGPJFVqdUZ6ftuhBO+IyPEHFR9tSXmTxKmGcS2CVDBPU6AEKTFyuDpYQyaEKEqZM1KQd8y4QiNuW+i9upn268wcn8M/JVF3oqnsnPSu+c78Hrqi3Bkyg/KF/QvkuYpVuSntouKbNIUAZQXWHbVf+F3+x6BYnAwMqoJCQnrE5KZafyQyMx6ArHTscDu79GzYFUrMyLTER5lqdLYCZTiRMD4hgDw1QDhkxabt02aeT5GMrqJJNwubTTQxIA8AgP4xMQqLYxQZEZlYQ67nICIQIHh5dr2S3jP8DaB18fueaoPIzmm7BYCU65W8vyHyOUzq5rMvaAVNk0K9+zQE0/jt7sehFX3/W+KHJyQkLBRIJGZ9Qhy9+OBvY8HplaBPqmZt9CmJlHu22QmbSDuQBtOviK4F64g4vd4LJhQiQnvxcocDXlpF0hP2MOpJlz9sCH/yUXozZg/jPF9MfmtqgPzvK/K8AYR66ghCLavwSCE+ymZjLHVSPzgaSq4BgQK5edFy3Nk7wuYMoRtZ/7sMjz8+n/Eg7u8ESvu+FVs6BMSEiYaYhyOBACJzKx3kHsdD/HOrwMH/ANET+lHI/gHlZOaMz8YmPksfNM3nzHn2/Aw6Sr47JS3G7R7ph2ZMXdjy5a9/8vG1FMm8FgxdiWSAOA5ADuzEcBNOtzB1hEZc27TmZpizvOivE8AKd1KfU9AqdYylNLnxplXKbP0Wui08hrlMwWx8ll7DZHRS7d14apsT14Aa/7yFB568/FY/pM7hvmGEhIS1jXS0uzxQxqK9RBi812RvfUciLP/C9TTAyEERKlREIlSMRBR0mEmSTvpEaBIQEF4RESxI0wrWHoRySfYeTdoIVxhf9tc+34q5Q2uqnhqDSM7LJaLixejaw+dcM0zHnEpl0J7Y8nIhyrHtDBpJekwREjB/w74uS5X2LRCCY/EKBIoCjPewhEej8iIso3ClkckLLFRypEopQTyJmHJER/EE//2NdSfea7Lby0hIeGVhhBj9JlJHsAWicysx5Bbbo9s8XeRTa1BZr7tiCA8guF20NbnhZksASiQJSUmnzk31+a+KSMkO7GNLQ1iqg+/F0O3RIj7oJRdbyEioQnK8weSzgnXrDbi7ClUWgx5KAqjmAjkhdCEkASKQqcVJREplCaK5lwTn5CgoCyjDHpX6GtLZApGcsxzyuV39zRpMYRFky3hSI4wxKckS3bxugAp4K/nXIp7tjkAf/7kYpDi32BCQkLCho1EZtZziFftgt5//y9k/W5XJj3xkkdAcnauP0VJVgTykvjw+5zYUOSeuQ/ESQ3Y9UiJTAwmb+iIa/obMw+HDrXelgRlfBiTT3L/GeGUG660GCVDK1maZDQLp8IURUlgCCgKYU1LqiQo+p4mKc3ckZGiJEOFEsjLg0rClJeERFlyBI/0aIWlvG+JjECufPLlKTLs2hy5ApoKaOYKT1x4FR5+zxnJOTghYYKRlmaPHyrDZ0mYaFR2no8Z3/0e1r7lKAC+iamAM/vwc+PQCxCKIH9onjLg1+b/iGLnnLRQcC/E2KdJ6vgfla8QCvO3+tOYe9RCkrw9kOBMcyRKs40dIOHtkQRBVokBNHkQAKgQ9hpFOe5KaAdhOBNhzp4jAFDGI0rYL9DeK4mM9cMRBAUBKPM9azWKyJkize8A4M7bxp2a8Mx//giitxe7/cf57Qc5ISHhFcVYl1enpdkOSZnZQFBdsAe2+MH3UKllgCBrZuKHVlZEeejzojwPTUtAK7Hhh0nL4RMffh/seqwQ3rm/79Rwbx/hNgHaKU63ysTmsfdYeXwVkVE1jLJRFMZspE1L3LzD1ZbcKDnKmZpMWh4xFxW2DN90RcYHRwG5VWiEVXv4d1yUPlAF+55z0kdB/vdjfg/m96JHRg/A01fdgIdO+jSKRmPE31dCQkLC+oREZjYg9Oz1d3jVj65DtSpB9h3bJxncYTc0QRnyAvC39dbrkKDESE4nP5luESo9LfeHKbwlpg7cYaL1mvsQPmEKl0f7zrZawSgM+YAxM0lmIjLLp8t7luCA+c+4Mq0fDDMzGWKkShJSkETT1i0YOTXmQthz7gOlzYWM2DCiW5S/FKPWIfhc+h/fx+29C7HkPWegvvT5zgOekJAwvpDjcCQASEOxwWHKfntj/k+uRibjX11IbCi4NuA+KqG/SozIIEhrl2805CZKZPg5tSc7NmZMmdYa0ddf3u11OCjbkBrti+LMSmbVkTFLaadffc/42RhtSDvpkk9iyJWpDDmyKgqrD7AKilPNqPRrovLaOX7zlWdg5/xe+B3xYeCD8Nx3/xv3LDwCjReXR0Y6ISHhFQGP/DnaIwFAIjMbJDZ54354zc+/DZnJ6BfIJzluDgoh0LqtgUEWyR8rJ7wezX+t4Z5xZIRa0u2n8K/D5docQSlwpbe4GHtLoB2JE+6eJSO+M7EhPY7ECKvyAIZ0GPOP8L4rYxaCZyLyl+I7FY4vu3ftId5O1tPYp0Hz+Zdw9w6H4uVf3gcqCiQkJCRsKEhkZgPFzANfi9f99D+QVdkqJ8RXF3ETQ7iNgYT2AufXhsi8kpy/k6rjay0+fP8ZYlTELc02aRTs0OjqFMOYsIxTcCu5id0zCo6LB+MIBFdcvLIB8Ng//N5wCM18MRWu7fhFPrlirZavxANvOA7/s/WBeP4HP+uqPQkJCaNEMjONG9JQbMDY7KD9cNijt2DnMz+AypR+b2US4CZJQ2DMjtkV9lll1zX4xIbvrs2tM+0+w/N26GSO8if+Mi0wBfFIvqZdXLlxCg0jHEEtw7czRmTClpozRw2cMhISFXMe6iS8DD9HN+Mbuw7Joe9c3V6Z4Wg8swxL3v4RPPud/9chV0JCwpiQzEzjhkRmNnAMbLMldv/iP+OIp3+JbU98Z4tfBD+y4KiglcjwNENmeBlAt/pBe3RDijhiG0G6fZaYkUj4z4TkAHDKydjAR8OV698PdSP/uc66yegQOnWDXcf+o7f2ohWPHH8Wnrvh5jG1KyEhoQ0mWJlZvHgxhBBYtGiRTSMinH322Zg7dy76+vpw4IEH4uGHH/aeq9fr+NjHPobZs2djYGAARxxxBJ566qmxNWaMSGRmkqA6bQpee+V5+LvLPw8gWNkDX2Xh6kwGrc6E5CZUZXiZIeIKxPAYzvE3dsczJQU+MkD4ohISDqffhHscdY+4riSCHO3vtmI4DWgkiPkwxXZK71RH6HP0+2MW4fn/d+sYWpWQkLC+4d5778Xll1+OhQsXeukXXHABLrzwQlx66aW49957MWfOHBxyyCFYtWqVzbNo0SLceOONuP7663HXXXdh9erVeOtb34piAn3tEpmZZNjmfW9H/7ZbRsmMIShcgakG15zMVBB/CTATYcx3Y6QOwcOpMvxmyzYGvJ6A2LQGxzPncX+Z2ATfGpiP52/1dHHt644lxUhi7Hy05Cb2PDeI+aMfnrODFB466qO4e5sD8dQl30nOwQkJ44UJMjOtXr0axx13HK644grMmDHDphMRLr74Ynz2s5/FUUcdhfnz5+Oaa67B2rVrcd111wEAVqxYgSuvvBJf+cpXcPDBB2PPPffEtddeiyVLluBnP5s4P7tEZiYZsp4a9r5qsb3m/jKGyHCFRn9SmU4lkSFkIC9POxNTN4SmHbqfqLkvDLlNJ1kaEP9/HTrqKts43+TTrt0hoWldIcXb070rb7vxjD03VqMYwIiocGTL6VTGZEeR/hkQ6k8+g0dP/zx+9/aPjEOLEhISxovMrFy50jvq9XrHaj/ykY/g8MMPx8EHH+ylP/7441i6dCkOPfRQm9bT04MDDjgAd999NwDg/vvvR7PZ9PLMnTsX8+fPt3kmAonMTELMev1eqG02y5ucubriVBrtpirLc0Ns9D3R4nMTmlL4wZeAh4H1ukE3Zo9Yfm4OCfMQIy4mxotJ99QaL2/3DdaTvyNEAs6Xp9WNOVpEiwoTdw9uzd8J7briExpdmGtvaxva1fnSj27Hg2/7EIph/mAmJCSsG8ybNw/Tp0+3x+LFi9vmvf766/HAAw9E8yxduhQAsPnmm3vpm2++ub23dOlS1Go1T9EJ80wE0t5MkxCyUsEel52N37zzNBC5SdUQFqPU8NVAehWzXioky3OC0Mt1g/IpSFNledwBlU+M7dSHdumdGHbo5EtEkOVu2GalE+CTExWSF67WIFwtFegurMxw926yn+UYC+HyE/idtnBltJKIkIyOBqZc3l5DZCjskzC/A/8Z/k2ZMXzph3fgzr6FmP2OQ7DDl89C33bzRtnChISNGAJjkxTK/5pPPvkkpk2bZpN7enqi2Z988kmcfvrpuOWWW9Db29u+WBH+HaSWtBDd5HklkZSZSYotjzoUB/zq/2Cztx8ESGlNSHZX6dLcoJVKvZO0lK3OwpwAhcpMuHFlGKQvtroGiJMZTmRaVuTYBH99kCEOnVQVRf59ItO6so0ekXH3eL2x8h1JI0sOuIIU0KV429jd0GslJJAGo1VmOvkzDb/7rn46HB8Q8ML3b8Wvdz8Sa594souWJSQkeBgnM9O0adO8ox2Zuf/++7Fs2TLstddeqFQqqFQquPPOO/G1r30NlUrFKjKhwrJs2TJ7b86cOWg0Gli+fHnbPBOBRGYmMWbuszv2u/HrOOipO1GrZcgsgSFvJ2kpYPcyEoLcsmdGZLjfjJnOYmH1FVpJTCdCY85DkwsQ+KmI1ok85s/C4asxRnUxPfPNUN49ihMYXq/ocM3bIsvyw/vh+HTrcxSOVTuEe22ZZ02/2hEYb+l7tJLWRLVqDX6z21vx0q13gfJ8mJYlJCRMFA466CAsWbIEDz74oD323ntvHHfccXjwwQfxqle9CnPmzMGtt7rVi41GA3feeSf2339/AMBee+2FarXq5Xn22Wfx0EMP2TwTgWRm2gjQM2dTZJRDlbtJ6+lIQBjn1fKcCJBSgJQzMynS6gzfdZnDTJqeYoL2vh+h6SlcIeXAnX5hzzspCMQqjRMZ1j5PkSEQiRaVJ7rqiREnrgxZ8xY0EVDEPhEnL0ArcenGdUegvXITmvU4QfLSyY2nDZQc9KW11niNUgBiaBBL3nwiqrNn4NVf/jQ2f+/bu+hJQsJGjrHGihnhs1OnTsX8+fO9tIGBAcyaNcumL1q0COeffz522GEH7LDDDjj//PPR39+PY489FgAwffp0nHTSSfjkJz+JWbNmYebMmTjjjDOwYMGCFofidYlEZjYCCCGQST17y9IvRhGVKozeGBEAyE7UOkKuBCDL2bVg02Go0BiYCbab/1+mfF5e7J65prJ6RdAKkyEPAYEx/irhrthmOm8lMnFzUjcOwfEl247QcPMY953hyhZ/pm098MmI78/C2hzkC+trec4QGlYPzz9c20y8H543f2E5/njCmWg+/xK2+sSJHXqVkJAw5ii+r0AE4DPPPBODg4M49dRTsXz5cuyzzz645ZZbMHXqVJvnoosuQqVSwTHHHIPBwUEcdNBBuPrqq5Fl7Xb1e+UhiLr5s73hYuXKlZg+fTpWrFjhOUhtTHjx8qvxl9PPRV6QJjWl4iKgiY6Z3M1Er5Sb3goF5KTPm0C5g7M2K5lz8wMyBMTEqgnNU6F5xCgWrXkIWVmYWUosJewO2ZzMmLQYdEwZN4UTBCMy7l74P2A4E1N47giRb74yS8H1GOnM3ZqTWvoCRyy4XxIvQ8GNcRggj5sLJQs6GHNqDkmdG6+g70SBCdCPwrz9ZZ/HFie/awS9TEiYeKyLOcPU8dJ7F2BabfQEYGWjwMzvLNmo5zeDCfWZueyyy7Bw4ULrtLTffvvhJz/5ib2/evVqfPSjH8VWW22Fvr4+7LLLLrjssssmsMUbHvIXXsRznz0XACHLgEp5aD8ZKpcXk33LNn4zGmYa881CAo6scHTj6zEcuGLSKY9VWKIqjDkn9ky89u6ITPtnh2tnWHc789JwCElg+1Z1Lp8rU7b95D8TI2zRNlkiU6p8UvteZZk+Hvvov2DpVf+3QysTEjZyiHE4EgBMMJnZaqut8IUvfAH33Xcf7rvvPrzpTW/CkUceafeB+PjHP46bb74Z1157LR555BF8/OMfx8c+9jH84Ac/mMhmb1BYfevtEEUOIYCMvZFnmVY/KpmyS5tt0DQBOJ8Vs4KIUAXfRjFuo+x2gm1n2rDqgEnnhIEXEJiGPHWE0OLsG2tD2FruENwNOq12ipXSDZEJnxnJ36qR/m3zxiVCCLsqw5j2oMmxcS6vSIXeisIzH/sUlrx6Xzx30TehUlyahAQfaaPJccOEkpm3ve1t+Id/+AfsuOOO2HHHHXHeeedhypQpuOeeewAAv/rVr3D88cfjwAMPxLbbbosPfvCD2H333XHfffdNZLM3LBTaKFGrKC9yblYSmIqEXZadWdONb4Iwik1FAD3QWyCYfafDsP78B9Xu5aG7/34ul3FSjc+xwtuiIJyMYxP28ODUKiwlyBnU1a7uzqU4hKYh3orwPPZsS/t429rk7EYNA7hpj6fph6R0yl4mCZXM/IYI+bJlePZfv4hH33IsSLVzXU5I2AiRyMy4Yb1Zml0UBa6//nqsWbMG++23HwDg9a9/PW666SY8/fTTICLcfvvt+NOf/oTDDjusbTn1er0ltPPGjIE3vQGQEtXMLbk2vg1SanUmk4RMsCXbcOYmIQAhnWJTkYTe0kHY0Bkz8YZ+Gp1ITOd77f6DunRPvSnvcd0o9CfxyVC3fwDis3tMvQjNWEYlihGH4UhNjNCYdAOJ9oSHX8fUIcX6MJy61NK2yNB5xFdoUxNg4he5Zd71+x/Ao4e8E8Xatd1VlpCQkNAlJpzMLFmyBFOmTEFPTw9OOeUU3Hjjjdh1110BAF/72tew6667YquttkKtVsOb3/xmfP3rX8frX//6tuUtXrzYC+s8b97GHZm0OncOZp95OoQAenqd8yfITTKVTBOWSkaoGFOBJTil6YfITk45NOEwDqdmewQzz8V2Z+afY32XiPl5eD4gaDc5D6+0AK0TdqcNJ502FSuzNS2WixMXPm4U3OPExdwDe46XF9YXOh3za+ukPAZHHo8AwxFhQP/mMqlQkYT8gQfwp612xd+OPh71R/40wgoTEiYZwp18R3MkAFgPhmKnnXbCgw8+iHvuuQcf/vCHcfzxx+P3v/89AE1m7rnnHtx00024//778ZWvfAWnnnpqx505P/3pT2PFihX2ePLJFJl00zNPx1bf+SYG/n5/9O+0Daa+ZgEqW86xE5tWZvS5MQ1UpFtBlAmt4OiJT9i4JOEk3G6H7U6TbkxRCM0eLY69kT6Gy61b7rN/w1Rbt2glLGEcmbC1FF0M3RmdcnNCI8s26uCF1DKWYVntFLEQnnoVjGtnQtOZ7cR8ogwx5mo4EbD653fisTe+FYMP/X6Y1iYkTGIkM9O4Yb1bmn3wwQfj1a9+NS6++GJMnz4dN954Iw4//HB7/wMf+ACeeuop3HzzzV2Vl5Zmt8fy7/03njn5NEhBKJRekq1IL8fWk5tAUehJr1DCuN+gqQQGIWBivVbge5kYlaadMgP4ykJMtRHMWVkyx2Tjo2HuGcRIDv9/bpaim7rtMzTyPwZe5OA29xw5EC1bPPA2hGYkye5L+OY8kx47wJ6LqTThGPtks6xBtI4rwHca5yU5BcaYKs0KuUxyZ2D9/fG28eJkTxXb3fZD9O66ExIS1ges06XZH9xj7EuzL38wzW8YgzLzy1/+Eu95z3uw33774emnnwYAfOc738Fdd901pgYREer1OprNJprNJqT0m5hlGVRyIhwXzHjn27DVFRcD4KqE7+cgBFc19NSXGTsVzMRIqED/mCqAR2TaHbJUGyTTCazHCyMy3WI4Ri6D8jhpQnjPq5fKPDGTUTfvAb6iEpqTAHgEw/f6KWPqlOmCpYOVE8bpCfsI1vowRk2gTbXthbtj2lemt3kkTKbg0/RK1XM8dvDbMfSHR9vWnZAwWaF9EsdwJGHGYlRk5oYbbsBhhx2Gvr4+/Pa3v0W9XHK5atUqnH/++V2X85nPfAa//OUv8cQTT2DJkiX47Gc/izvuuAPHHXccpk2bhgMOOAD//M//jDvuuAOPP/44rr76anz729/GO97xjtE0OyGC6e88EnMuXsz2ZSL4Dp1+lBQBvey2RxAy6KMHQKU8r0CVhMbcR2kiMQdg9nwyE7XdzDJCKAyZcopHe/dgID6pmwSPUBmyBkdowNOFiZDM1QoCV4fMmERpQUiIbL/Ja6NPSFx9sWCDfM+sjJGkkCC1Gx9OaHyVKFi+Hjg4tyOWbndwL9Urx9Qbbi2RF7BHc/UQ/rjPm/HYP52M1Xf9uk3rExImIZKZadwwKjJz7rnn4hvf+AauuOIKVKtVm77//vvjgQce6Lqc5557Du9973ux00474aCDDsKvf/1r3HzzzTjkkEMAANdffz1e85rX4LjjjsOuu+6KL3zhCzjvvPNwyimnjKbZCW0w433vxlbf/gZ6t9mSTeSAVV8E0FNVqFXMQZjRW2BaVaEK7W9TEbDnhsQ4RSE+YRsTkhTCTeKidfLk1zElheez+SPX5iJ23y+TEQXhH63aQlh7WQKx51mZ5qp19Rc3q8GuCvJIFxtHQLT0o51CE6dboanKjwTdaXxjm1Bywuv+LcmL4v5WzIxZ+l8pEiBFWPnjn+PPb3k3nvvKv7dWnpCQkNABo9qb6Y9//CPe8IY3tKRPmzYNL7/8ctflXHnllR3vz5kzB1ddddVIm5cwCkx965sx5fDDkD+zFKrZxLILv4EXrroeRICEQl+NUCiFoUaGnprCQI/CDBRYvibD6qEKeioKzUIgE3rDyoLK13YCBJv5pCCABCDd5G3MNRKlb4vg076vFAHtJ1pRntgdDAC7R5IhQcRmagG4/ahAbvNFU05QprlnFQ1ydYeOwHyrA/NcQfA0kBbCJfxnvXzSnesiuGIWWYrOPmPGMG5uGu7drmXLA9anmNO0Vw+578CsQtOr4KynTks9z57zFYAENj/j1GFalpCwgWMdbzQ5mTGqodhiiy3w5z//uSX9rrvuwqte9aoxNyphYiCEQHXLLdCz7daY97XzsfP//BCbvvcfkWVAf61AJdPB96b0Kpj9xHoqZNWWiiD0lMqNWYqbSXKKDNwKKSkIWVaGwBeBky8cSzCTp0G7pdcxVSam5lgVRLjy+XNgz4UrssIyo6TDmNNE8CxTVzLhKzPcPym2miqmUvl+N+Rdh6vGOLr19m8b1ThoT9vlA9ZUpZ3KlRIolHaGJiXQLNjzpEmPUWxAwLPnfBlLv3hJl61NSNhAkcxM44ZRkZkPfehDOP300/HrX/8aQgg888wz+O53v4szzjgDp56a3qYmC/oW7optv3kBNj3sdYAABgYIfX2EKTMkVAFAADPmSGQVPXnXqgQhgVpVoZKRjQQrhSrPDaHhTsbB5B+QDJvGEJ1AI8oNNwtJlsZJU4zE2OLYxO0RkqAsVz0FZfiqEm+D/RsUqDGx9vDrsG4vf/C8630rYioOwNSmyN/IkTsbCqvIGFOWUgIFAUqVq6SIrewSzkglhMLz538Ff333B7D2nvuwni26TEhIWM8wKjPTmWeeiRUrVuCNb3wjhoaG8IY3vAE9PT0444wz8NGPfnS825gwweh/9dZYdRcwMDNDtQ5Up0tU1hLm7NmPan+GKdsU+MMvG2VAPkJvlaBUuM2A0CYm49HLJnTFKTW1TsDhBMv9MTi5CIkBmV2dy3tml27Pq0MAomwPkf+i483dkXTuW+LNtSWJEmVf+S2v/JDI2Hus3RAwFrtoGYCzlZUwwQxHOv1bkxNrc2z5ezjm3KzHnX55K62fjNIDrpf9A5WMoAhlHCOy2yGYPq7+yc+w5uafof/v98XW110JOWVghL1KSFiPMVZ1JSkzFqO2uJ133nl44YUX8Jvf/Ab33HMPnn/+eXz+858fz7YlrCfo238fSAlMeVUfBjavYGD7fmy2oA+Veb3AblMx/eCZ2PWETUAQ1mm1p6KVmt5agWoFpUlJxyDRzq3BTt2IKBGRtnixYYjFQAlW4HBfm9C/o6VcEbkMSIdRPKjNMyafuaXzknevkxnJU1QibeysioTUIf5pzrk/DS+B+7AoRmi4uuKNObsXaxI3CSoloDxHYP09KgWAkV6jlilbjx6Ztb/8NR5/y9FQawc7DURCwoaFFAF43DAqZcagv78fe++993i1JWE9Rf+bD0W2xaaobi8hltZR3XEAeKkJsWUvqL8CVCWmTK1ghw9K/PWq5wEAtZoCQUCQgiJZ+pjoVSso/WYAYT+5+hJu1ijAJ03RclNFJlPPmRe++mHvlTO7p0JwlYHV7ZUdGaN2TslklJ/h8ovWNnvlsOdi/kJhFSbNqFFB1zzwdIJzDpbkSE1Yh3HstddlftM+o1oR2b1OoakK2YCMigBB2hVYkUCVBdfTKpmwpighCI2Hfo+/LNgPMxedgunvPhqV2bMivUlI2IAgMUZlZtxassGjazJz1FFHdV3o97///VE1JmH9hOjtxZxLPgrxwNWo9GVAfwYMVIDNeiGaCqgriKEC06ZJbHfUDDx100vo7QHyXEFKIC8KmGmVJEGQsG/5hkDEzDWeglDOqJzYCDbDmlMKygNaiYw1R6F1IoeIkxWuUnjpIbEIyIYhNLy+MH/svB2iztBt3X1bVZnwPCQq7tqskKKWMQpNUWQITPnJVzCZJ7m50ZAVAiCU7nhmn9NqjRBm9Ve53YYsidHyl/HC2V/AixdcjHk3fBd9r91r+EFLSEiY9Oia1/HNG6dNm4af//znuO++++z9+++/Hz//+c8xffr0V6ShCRMHGnoJcvXNEHMGILbsh9h0AGJ2L1Ct6lmnUQB1AnozTNl9CuYdMwtZBahUgFovUKsQKhVCtaIdg83qJSljBg8/hcciMSYOxSZGRW6CDE0bHqkI/Uy8k/b+JcTu+aaXVgLR1uSCgEiI4DO43w3CvZR4O3mZYTybcKUT/waMgKKgVx0VLD0v06j8VIbslLFjwja0xit2y8fdjt1lHgKKQtejCMiVy2NWuRmfG6uoDQ7hySP+CYP3/3aEI5eQsB4hmZnGDV0rMzzey1lnnYVjjjkG3/jGN5CVa3SLosCpp5660e8PMSnx3N3AzBlALYOQq4DeXgjKQS8P6mh502rAmkFgkyrwYh0D2/Ri7ewq6PkGeqZkyIcKFCBIKDSRQTC7kDNLlCYGRhLs7tilBKN9LQhSugBvQgirABBRoLZos4ZRc7pVPrj5KTRFmXoAcpN4lMCI1rM2Jqd25p92d30i44gEr4/gTEwSzilYwEUANlDBOb9XsGtlPYEEMpAllRIoIzOHg+fayxPceJHdM4uEXulEZflmxVtB2nwFAoQ0yk8ZeDFv4sl/+EfM+9H30Lf337UdwYSE9RbJAXjcMCpe9x//8R8444wzLJEB9J5Jn/jEJ/Af//Ef49a4hPUEjachalWIqdOATaYAm0wFpk0BejOg1gMMVIHpVT1fDVSB6TVM2XcTVGoCIhNapZGqjK9SbkSIcIoO3vDJTdqKnNMo4EwZ/NOsbDLnqiQdMbXEqSut16ZuFaZ5zzgtZcQrhgNVhiUFrYvftbmItWH46iK7cUfKBFdnYBUYo8IYZYbglBnXnuBg6Sif81ulD67SFIWAIlk6BgtQyayUITJlSVnZAaUA1Szw5OHvxPLLr0Lx8ooOI5GQkDCZMSoyk+c5HnnkkZb0Rx55JG0CORnR069n3yyDmDYNYmAAmDINmD4A9NWAKX3A1Kp+jZ9SAaZU0Dt/Cnq37tXOvhKoSEBW9FJcIciTKFomPhIBkXGTKKGMU1KaKMxO32aC1W/3sOJAO7NT9Lo8V+wZa9aiiGrUAhF8Do/ORCYOYv92eio0LXFzVvgfP6bGmE9zzvOZ7wIIxhFunLolerac0ilYKSAvyu+X9AEAhdImp7zQAfiIhF7+Xig8/5lz8Jdd9saLF16KFJMmYYMBtwWP5kjCjMWoVjO9//3vx4knnog///nP2HfffQEA99xzD77whS/g/e9//7g2MGE9wJTtgRX3A5QDfQNAVtNkpD4EkQ2BKhkw1AAGC+0YvKYJsaZA/5Y9EL0SjZdzHTG4IkCFVkad/wmBSDpFhaAVFThC40+ggDCGFG7+MZYNzwFX23UMqbFOrC2Tb6vy4k+IojSDMdsJOk3W/rPtQX5/EHeEduWFZVEkzeUMHZzD9E4tN71VQVrYCvIOYQfaEEoRte3xktx9bXIqzYUkUBgblIJe8g+9QaWBlLDkBwBE0cRzn/8yms89jzlfPKdNDxMS1iMkM9O4YVRk5stf/jLmzJmDiy66CM8++ywAvcXBmWeeiU9+8pPj2sCE9QDT9wCe+wGgCqCnD5A9AAqI/n5AZhBSAv1rQQM5UAWQE7AyR2V2DWgS+rfuw9AzQ8gLP4iddQIlYqtc+KfxpOH7+JA3EXsTqaFHbD20Nlm0Tt3hqpr2xISrLcO98XeiCI5a8F4MbyiK39NlCJYnNNppSC9/5xpC8hLWHpIZr1Z2QYDniONiyLQ+39J2SyZLkiJEqcboVU1K6QB7KP1ptPuSYN8h4flvfBuitx+bn3NWmx4nJCSsa/zud7/D/PnzIaXE7373u455Fy5cOOLyR0VmpJQ488wzceaZZ2LlypUAkBx/JzFE1gfa+mTgr98CKn36lZgybX4iqTcb6usF+ob0DNSTwTg7UJ9EbUCiUZWQKPQKJhZbxpiQFF8V4yky4SaKwv7LzRwEKoMLa5ZkJm8SzpcGYA7HBI/IaJNFSGrCtx4RXUrd2arhqEIriQlKD8ruuDJK6DKJDD1ytfl6hyurs0aEYJzb1x07OF1yztYiSmTMd2Lab9vAFLICgCjXepNhwFRyJKWJTUECEnr1kyW6pN2en73wmyiqFWzx2U+0UYcSEtYDbEQbTe6xxx5YunQpNttsM+yxxx7l4g32l728FkKgKIoOJcUxpqB5QCIxGwvEwKtBO58DLP0W0FwJVDKg2qPJixRAby/QW9GqTC3XzsGrcqBHQjQIsgpkJCGF/pFSQF7MLKbIrJoBAIF2HljkTeGwZQLwSI0pn5uP7FJu755/7lZJ+SSjE3HpREBsnjbP8c9wSbkjBKVZqgwmx+iDPY//bYsZnHx0Q2J4SRm75u02u1WUdNWrUwhtPpJCfwdmtZLro/k96OdU+QnzTOkvRWXlBTnncB3PSNoxkwCWffHfsewr38SsE/4JW3zun1HZJP2tSljPsBGZmR5//HFsuumm9ny8MSoys91223V823nsscdG3aCE9RdC1kC1LYFiDYSogLIaUC0NE9UaRK0GQgFRlaAeCfRIICfICiAzCSUY22a+LC7MvW96GG6C5Wg1gbgl2aq8I8uMysyRAZHxyhtB5SN98Y9v4lgqNsIoDE7dcP+aiZ8gS7IljEWN2ZE86lIqOOa5zvpMhzazJ6X9JLfjN8j2AQB46GMhXH/4Duauj06ps7oVwTpzCwjk0NGiFbkOF4UWCQGgkYtyWwy3HQJIQDQLvPCt67Dyljuxy703Q/b3j6r/CQkJY8M222wTPR8vjIrMLFq0yLtuNpv47W9/i5tvvhn//M//PB7tSlhPIQZ2Aw39GYDQy5NkBQDpCHnVqn5dzgRQlUBVL82WmYTItKnAvoWXK5YKpadJpQTz1xjek6QTjOmFQM6pFIYwCUtynFrTvq7QROXda6Ok8Hbw9Ni1mcx9Q1FrXaG5xlzwdG+rBsAjeKMdy6A6+ylBbDFFuc+WcHU7IqZr1g68pYWyZLFK6O9Cb0rq+mI3ymQ7bBKEjg4M2GVWSmlTUyZ0UD1pFRtdbpaVRJkI9b8+hd/v/Wbs8qsfIZs+dRxGIyFhHLARKTMh/vSnP+GOO+7AsmXLWlZB/+u//uuIyxsVmTn99NOj6f/+7//uRQVOmITofTVEbS7QfA6a0AjtnSmldgY2s7D9T0p6eTbIM90omIlGWEVmuLD8ofriIRAdzBs9mdU15HxSTdRgm5dKs5UgS3DsuXDFhqTGkZGgKQFzCH1hfLMSudD/ItI34as01vJS2pYFAULG2+OrOYw4mT6iO5LDV4AahcZuDirJRuk1JIfvMyGlNggaskPkSKsRcjiRsU690KYlRbpzFUE2phCkBJFCoaRuV6YfbhaEaqbHKMuAvCD7MxQCaP7tKfzxTUdhp9tuQDY9mZwS1gNsRD4zHFdccQU+/OEPY/bs2ZgzZ45n6RFCjIrMjOtQvOUtb8ENN9wwnkUmrG8QAhjYA3bdiyKACrc+lpSbqYgghJ4KCdCbTEITB89HwpqU/Km1HbURwT2jung5yOV0Dr++AhCatjqZnUKE+To9F5Ig9/+WvDSjaAjOHFiat/1BKRmJSEhhETzHimr59J5rk8Z5oiEsmtDoz0wawkB6h3ShIAShkim9S3q5Q7rJ49psyKPzhylIb51QQCssOYACOq5MoQRypc1LeSH1Oek0pQQKJbUSZ/h1OaaqLBeCkD/6Zzyy87545qyzUX/siUiPExLWIQzbHsuxAeLcc8/Feeedh6VLl+LBBx/Eb3/7W3s88MADoypzXMnM9773PcycOXM8i0xYHyEkSOV6qTYpIG+Wm+sUQJFbz0wBASo32jFOvqWFATzar/4MKYpGGBuq/STMlBaEBMWVbc4dodLPGodkn2i5NI7uiEz8j0xINJzPiXvKkBXJzi3tMz4n8J/jZfJ6wuZY0oTWmFuiwwH434Vtv3TEpiL1fluVTJ9XMtKbRArS0Z+F+5bN96IUysB4QE462nBeHk2gJDP6Xk6a2OQkkCvnAKxJjjl3piWBcjdvAd2esvG0dhAvfuMa/HmfQ7D6zruj31NCQsIrh+XLl+Poo48e1zJHZWbac889PVmIiLB06VI8//zz+PrXvz5ujUtYP0EAoHKAcqBoAnkdqNeBPAfqTVBT7xpIhQKaCkWu1yepQrkJn/mpxNSMkEKE52ZKb/9e4vZlsu1mioyXr5wU3T5RLD6LYO0Tpk5XQnsFZ3gDTgvfEME5t9iUJESv/nH7QhmFBradbkysouIGzGufgPD2b+JtMmnmMyQ2gl3I0tQkS+IipXbUzTJNK5WS7tsQRsQrVyYZ1QUoN7fUaowmW8JuqyDgFDy9N1SpDRJQMSZMRcghUCv/qhWk1SAYE5fpgyF9eY6//uN7sc1N12HK/vt0+KYSEl4hbKRmpqOPPhq33HILTjnllHErc1Rk5sgjj/TIjJQSm266KQ488EDsvPPO49a4hPUUKtefzTqQDwGDg0B9CGg0QI0CaGgSg7oC1QugKImMcs6eqoUFkDcNZ8JtK2AmIBMrxSzp5V42MZWizSzOc2llACVFIReR14bmY34o3CfF4zdA8JxHoVoIFfdhIdL9Id7+8pynEeApL6Ysnl+fs401WT+dSUtYVUaxMRdeTp+4gF2L0scHBLsZpJTQ6ktGqGa6HqUUahVdVjNXerzsUny97JpI2vEvIFCAUABolO0zhMW1xaxuIrvVgoBbpg4CMlD529BkyKhBpg8y/OOfK/z18HehZ6ftMXvRKZj+T0d1XKmZkDCuCP9Tj+b5DQRf+9rX7Pn222+Pf/mXf8E999yDBQsWoFqtenlPO+20EZcvaJJvZLJy5UpMnz4dK1asSDFxxgk09Ffgue8Ca17ShGb5cqA+BFo7CKxsAGuawEt10HN10ItNNJc2sOb5BhprCwyuAlYNZmjmArmSaOTlPjsAuOqRSTdZmwmWv1kXJoQ9VzPC63KG86lF+Wkcj8mRGcCRGasMCW6W1gpAwBQYYok+4eKfsjQZyaDNUb8b225D8nz/H55PBM+YC02IjGnHjKkmEYbWqKAMg6xMy0DWR0ZKhaz0k6lmCpkkVCtk+1XJNGlt5oa06O+70TS+LwINpZWYHMKalJrwX1gl3FuXYG0x1CYzPjyANXFBEKqZ2wtMCmHb5fksBf2cfuw7seW/f7n1C0jYaLAu5gxTx/LF+2Fa7+jDva0cyjHj07/aIOa37bbbrqt8QohRhXcZ1ShmWYZnn30Wm222mZf+4osvYrPNNhtV9L6EDQi1uYCoaX+ZZhNoNoDBIWAoB+o5MFSA1hbAkALVFfKmAimCyp2fsN1Akvmt+GoAc46F87MwDEMKf9K1Qoy59mYprjfAkgAe18SqM2FfLQnQ+ZyZTHT5UtRZHYrHnAlUIOp83zY14FgtQ6BzlSqWXglFoED94H5MHcqzTsCwvjNS6KOSkSWBkoBCEpTyx95sEMpNS00YlUZ/VlhbCrhAfaZdhoAR/+ZIB100REiPiSY3ZuwE62Wokq247nsQ1Qq2uGhxUmgSXnmEEuhont9A8EoEyuMYFZlpJ+bU63XUarUxNShh/YeQVdDMQ4A139VkhggYzIF6oY81OTCoQIOFPnJANQkqJxQk7U7IZoLzyhawK1/IzVqez4OehfVyX32Ph8UOyxQt6TyujFYnnHcNL4XnMSfOfBUnFDEYtSdKahhjMIpzu3JDshFTcUICpFcPiTJQs07UsXaoNE8JSGayc8WJ0hQV95kx7bHmL5QOvoLs3knIAKEAWTgzEJX1E2m/mgLwDmJ1KrR+DyJyHrTGVcRGy1fnAn8s036pz1d953oIVWDOVy9IhCbhlcVGZGbi+MQnPhFNF0Kgt7cX22+/PY488sgRLSgaEZkxNi8hBL71rW9hypQp9l5RFPjFL36RfGY2Eogpu4M2ewlYdZ1OaCqgUeidswcVsDYHBglFg6AaCkVOegU3aRORjTdjNgkEm6jKC6vMSOdbAuh0JUojiXSxZBzPcCSHgwBPCTIkxvjH+ATHn9qjQevQLaGJERn/ergyBD9hSkI78iM8ExZpXxFiY2lbQZBlkDkIR/SMw65kBsCWtodKGOONomQjTgHTo2xNXOX3riCgbI2OwIQjFJ5HWuPOicrYO271VMy05C+LZzROAKuu+y80HvwdZp52Cqa87R8genqQkJAwPjBLsIuiwE477QQiwqOPPoosy7Dzzjvj61//Oj75yU/irrvuwq677tpVmSMiMxdddBEArcx84xvfQJZl9l6tVsO2226Lb3zjGyMpMmEDhpj1RlCzCbz8LZ3Q0OtlqSQ01CigmqTNTAXp5bNlTBCujrS8Y7NJRk/U5M7L7M6Rs83UFppg4AiJOef1c0IlWDrg2hAdgy5ejGIbM9igcyEhCNI6ebSFygwfL9t64fpk+iclgZQAylVRxPqWCcHGiTwq09JVAlCSI0WAMH5ISjNPpciEG7LLr4lKiQ3lMnjXUjZe8fN2af4SdhfPxoyJM1dSdMwl679dPQag8cgjeO7Dp+PFCy7CVj+8AZXNNo20JiFhjNgwxZUxwaguV111lfX1WblyJU466SS8/vWvx8knn4xjjz0WH//4x/HTn/60qzJHRGaMzeuNb3wjvv/972PGjBkj7ELCZIOYcyhoaBB4/uuayOQKGNKHyglFU2kzUwGAxXvh50z/aC1fuAmI2LUyE2GpNijlVuvY1S2e0cjBV2f8mpmhwn+y1a4xIsQC2XHzUjdox2t881Srr5FVc0oCKAEoWapXUhMaUe53pJRWvfhGkJLXHJJEprQRCeQFoSIFZBlyyDhaK9LB7jSJdKu++DgH4o4mXkE6gjzcGVgvDzcERe+s7R4gcHVGCk3AQudr/ekToeKJJ/DUIYdj3s9+jGzT2W2+hYSEUWAjNTN96Utfwq233uo5LU+bNg1nn302Dj30UJx++un413/9Vxx66KFdlzmqVeq33357IjIJFmLbI4EFx+k9mUxgkJLIgARUQTq+Hlc3PKWDbFRZEaTb4GzlG7SZsMx1Vm6VYCax0MFTn5H1qem0UihMa2fm8PJ1UE6AzvzHkKZ20YNjZSubFm+1AFN9ykps5F2jWsCNnV6V5JZYG3+lTPhkgpdp2yucE7dRXgol0Sy0K1U9F2gqaaP3FhQqcm5/p4wd1fLTrGhyhMUnMrB5jPOx+43wiMPmnum3ITDcbMkJIAD7GxMoV9Y9txRPH3QYilWrIuOekJAwEqxYsQLLli1rSX/++eexcuVKAMAmm2yCRqPRdZldKzOf+MQn8PnPfx4DAwNtnXcMLrzwwq4bkDA5IBa+DzTYAH56JU8FkQnk4mwiekIU/oRUvj0DbPItJ1UptNTiVBru9FEqCuXjxN7AYxF52xGX8LqVhIiWnJ1eilpzw1MGzH1u9uhUHic9rgb/GbPCy95lxM5bDi6dikOkHzS+JmYjSG5eCtsvBNueQhh1RoCUVnqauYSUhLzQDSAl3ZYDLNaMKZ8vwTaHIZNe1OHgPLN9I4+UGfKLkuQIuEjFncbZ/LYMIfYULwBq2fN4+rWvw+xLLkLfAW+ACGJjJCSMGBtp0LwjjzwSJ554Ir7yla/gNa95DYQQ+M1vfoMzzjgDb3/72wEAv/nNb7Djjjt2XWbXZOa3v/0tms0mAOCBBx5IXv4JLZD7fABFg4DvXgb0yJaJ0EyNWUaQhY4AayZg8zYNIZAJswtzGe9FMgdWEwRNlXTAyhu2JhsZ1viEaMQpSjty082vu5PzL7F/fR8NP4hbN3WYT2sKI/9JE08H8NUGW19gSpHQqgpR6XuknG8MUKotolS8WHq4XJxK21+ugMwQm0KrL5KgyQzK3dFLE5NSfl8cKXFLsWNkxuT11CLo4Ip8BZxVYqTeSkGye3YMSg9q3h9OdTmRAeAIHgFq+ctY9p73Q86cgdlfvRD9hxwU/d4SErrCRmpm+uY3v4mPf/zjeNe73oU810FYK5UKjj/+eOubu/POO+Nb3/pW12WmoHkJ4w5140WgH30b+dNDqL+cY/DFJppDCo06sLaul2avGZTIVWZXuvRUCBAEpfQ+OllWLieWZmLSE6J++xbIC6MOaJ3DmDuEEK2rpcgFmnOxbTTpySPt52SDKwCS/d1pt3TaTdL+fyvusJxZYtZaFnfq5Q7LLlBenGrZgHBAC5GJBeWz9EVoXxbTarO3kWJjaXtEYVupVHMEqpkChH62mumxauaALFWfwuzBpLQpymxlkNvS3XdhlmWb2DKG3ACa8JQUSZuljGlM6mB5mYQlMpVMm9YyyYIwWjLJV8Hpb46bNG3/zLdGwvs+TKM3u+IyTHnb4S3fR8KGi3UaNO/C12Na3xiC5g3mmPGJuzbY+W316tV47LHHQER49atf7a2QHilGJVKdeOKJWBWxHa9ZswYnnnjiqBuTMDkg3r4I4v2fQ7brNoAEKn0SWVWUTpl64u3vMS68egNAIQi1io4gW60SahWFannUKspOThXpCI4UBJmVJgRhCAPZSdy8sQuwCcpraWsEWJOHH0AreWn3CtC6LWVwX7Q+y6+jPj0R81KQw7XR9ttvt09wXMRc39+ovCcd+QpNLq3t0pO8NiNpEpQXAs1C6GB4yhAZ4wzMtoqAb0bKgqMCR2YEuB+NJjKSEZms/P7N7yKTWlWyfkGs32bVk1GpJDMtcSKj8xoSQ54ASKSJ9HMnfRhrbv155DtJSEgYDlOmTMHChQux++67j4nIAKMkM9dccw0GBwdb0gcHB/Htb397TA1K2PAhhIB83dtR+crN6P/W91GduykqvRK1XoHeqtKkJgOm9uV2EgUIvdUCPVVCb43QU1WoVQtUM01yKpmyb93WB8I6e7KJWLjJC4DdaNCRHLddIeCrMF4fItehgtJKeuxU5+fjhZEzoZgtBewt8o+gpPYEipMXwE6+nIjofK7PdrduM7GXZVmnV0YEO7Ez0w9VOvkqVW5VYM4LFyBRMZXH6CG+Dwyxo9UJWF8z0xLIOS8bAmOIDbgPDftdyLL/0vw22DgwAmybaQyGxrRnTWVmOwmBZ449Eatvu7P9ICUktEPrj2/kRwKAES7NXrlyJYj0ypBVq1aht7fX3iuKAj/+8Y9btjhI2LhR2WUBpv7gF+i7+w40//dBNF9cgeZgjkJlwNTpmLPpHPzlzAsgaQj9fYRmU6FS1QpMs6k3Q6yAypUwJRER2jfDmDXM5Kx9QAhFeU/CLTEGtB9IUUArD9Bv1mB+IcZHw8ASFfN8YGbp5FsTU2CA0nwDYSdMHvguLM+nRu5uJ1+dkHDxthhyw80krn96UwDtx0QolNsywrTCp3+sncQCENrnnalKKR3tl9cubH9cYDsOCXj3zHfj1JMy2rAA848hS8KMadIpT+XO2mVAvTAqsk/64BgnY7uC3Goysv3WY/vU0ccjmzUTM0//MGZ++CSIlh0tExIiiP34R/p8AoARkplNNtkEQggIIaJexkIInHPOOePWuITJAVHrQfXAw1A98LDo/YG/3wd/esM70DtQQNYJlR6JSgaINTo2rJQCqMMur1bkJhw9URtnYWgSY+LOmMBt0PsoqTKfLGcpowwYwcDMYZ3+PnhkwbtDLQTGIz6BH4yNdCtYf7zS4s+1bl/gkwHr1Bu0zyM0IpinWcdNPrv3FXOibiVojpwQRMkO/W0qTFwZ/5lQyYJ18CbG7jL2hGkvNyVmGUrzItl7xvnX5jOxdURIx3zlqhSz3Pdgfl9BvwmuP4bQmH4UL76E5//1PAze91tsddXXkZCQsO4wIjJz++23g4jwpje9CTfccIO3b0KtVsM222yDuXPnjnsjEyY3pizcBdv/5yXIP/MhyKpCpSaBTC/11cHw9FYIBEAVhpxoR2AS0NFsmcnG+H0I6FlZlKt1JARIaidjgn7eONYahEQmJASdYLc8iORz94SXzygyxsmVO+uqgDi0EpnWeozKEsvTnoiZhJLkcbLjSTmxfjl1wsUJ5iuo4hQxbLvdK8qoYGglGIZYOFJTqjClGuOpM3CmJW5SNH5FrgOslcJvFwXj5VEhZgrkBRIBq37wYzx18sew5eVfQ1r1mdARYzUVpd+XxYjIzAEHHABARwKeN28eZJJSE8YJ/btsj6EpFchqAVmRkJmWLIo6AUKBCqBQOmYNn0OU8lUHA1nOPlLoVdwCpImPiX2CcvKizvN1i+mHE5HgXpgnWp4hXaT3JDIrsKjcNNOUad1LIIKJ0wc3j+h2kW1fJ/AxC5coc7OWsGWWq5kQbtPonjJmJlEW2tYUVtago/AK6/fk1CcXoVdYG6FRkAxR1X49PPCfgO8HEwuKZwkva7o3Fuxe2Hw+XihHJ1TQDFbd8N94hgTmXn5xMjkltMdGGmfmlcCo1oRts802AIC1a9fib3/7W0uUvoULF469ZQkbFUQmUO2XEBkgMwGRCahcG4GEyKCahZ6csnJrBAA+BXGmEMCZWxS5GDUknI+Ned7tZi3ixARuEuPh700gNf/tvRMtMhM+O2cxcGx50Ra0tsxTgQjWnGL6HZKcduD1GuIiAAhjPhHCqkblZuVs5vYXoJvVTa1tNmqNKIkKWcVClk68xofFqFMtMWBKhYX7tbhVa27ZvCYxfDVba5+j48ya3fqrAuuT65tV1tgDPIbOyzfchNW/uhezTjkRM973T8imb3hLZxMSNhSMitc9//zzeOtb34qpU6dit912w5577ukdCQndgJpN0MP3Qd15E+hb5yLrkaj2ZZA9ErIqkPVkqNQkhNTkxuz47KBfw/XeQn7ZPGS9ELBv84JHE7aTZeue0NbMwdJaIKKn8b52KM+QGmq5F9pEWH3CqTAuS3s1JNYDPtmLIM0u17YtYT4mfqXRsr16YFQTR2TsajRpfH6CpdPCr8HWz8iLqVvavO2XxbcoMuaCk5fIw4bMOuLmZ4ouq6fS/KaAxpNL8ez/dz4e3edgNJe2hm9P2MgxmtVL4TECXHbZZVi4cCGmTZuGadOmYb/99sNPfvITe5+IcPbZZ2Pu3Lno6+vDgQceiIcfftgro16v42Mf+xhmz56NgYEBHHHEEXjqqafGZTjGglGRmUWLFmH58uW455570NfXh5tvvhnXXHMNdthhB9x0003j3caESQj61a1QJ74B6l9PAF3yGWDJryBqEqImICsCUupPZNoEox18heeD4EXHJT+Ngzt66nPnNGsnUlMmfFLhXVNrnVRmcDtA+8/pg7dZsGday3ZqzfD0iPfB62/Q985GNLZkne1h5HxO3N5GYOlmOb1fn7B9aYEhISZGEMogdyLchoCcKmO+K+HXk1l1xhEcGJXE9IwrJuW5osj3FjlvuYfWz9i52VCToIMNFiShoJem1595AX963T+g+czSNt9FwkYJMQ7HCLDVVlvhC1/4Au677z7cd999eNOb3oQjjzzSEpYLLrgAF154IS699FLce++9mDNnDg455BAvrtyiRYtw44034vrrr8ddd92F1atX461vfSsKF31zQjCqCMBbbLEFfvCDH+C1r30tpk2bhvvuuw877rgjbrrpJlxwwQW46667Xom2jgopAvD6B/rL76H++ZjSbgFYW0kmQbkCFQRJAs3BAo01BfJmgWINobGqQDMnFIVEvakjyfKIvi3GDRFMQkKgmbtous1cx0Qh0rtwKziCYf5OEFx8E2MCCeuwxgehKzJTr6E3+p4LvgarBJUqEdxSbUM+QtLm+7cE+weBrfKBc44tn271JYLLa8xn5rxQ2hREBJCQZXRgAiCRGyfsMuqya5eLrGwMd1LocTDLo4UgVDNYQ1tWbl1RKPPNSeTK9DdOigyJMgTIlGki/aK8NntOGX8aM54mXJ/164HzWeL3pHT3zLdd2La5vvPo0u53JqzjtlKiJZZQddOZ2PX+W1GdNQMJ6yfWaQTgfz9g7BGAP3LnmNo6c+ZMfOlLX8KJJ56IuXPnYtGiRTjrrLMAaBVm8803xxe/+EV86EMfwooVK7DpppviO9/5Dv7pn/4JAPDMM89g3rx5+PGPf4zDDouvWF0XGJUys2bNGhtPZubMmXj++ecBAAsWLMADDzwwfq1LmJRQN11tI8Zp8lD6j5SzgCC9asnybAWY+EZQbkJB+VyoikRh3+b9F5rwxaadumIccs3u0KGCA/B2OaOHXcZrGybYM6JNg1tft7iJRZMFX3GyBXmPxhZFu3RDcrxov6LcldzGaOG7URv1hL0YevXFv4dwxVGljOacSSr34XLlRkeDqenelhJlPYr4dg9s/ydGNJR37oiYe174RIWXwUgWJ3HhiiZDZPQzotyyQT9XFPoYeu4lLNnjEDRfejne2YSNC+NkZlq5cqV31Ov1YasuigLXX3891qxZg/322w+PP/44li5dikMPPdTm6enpwQEHHIC7774bAHD//fej2Wx6eebOnYv58+fbPBOFUZGZnXbaCX/84x8BAHvssQe++c1v4umnn8Y3vvENbLHFFuPawIRJiIfvBwCQISzljELlX39VEFShNKFRJYEx91SbSSl8Q4ZTM9yE60wWgJmM4/Snlcj4yk3rZNYJ8Vlaz78dTDORFnF/EkvImKrD05ypJiAy4d9DaKUDzP/EbDvhHGvdFhKZ2e4g6FaM3DnipevNygB35jC+OSGra1VlnBnMDptwec1RKEM4BFNOzJ5QjmwUJoqvMvdgTYBahREecQ1hynb1k90TzD5XRj4ujJJVtqvx/Mv43V7/gOayF+NfdcJGg/FymZk3bx6mT59uj8WLF7etc8mSJZgyZQp6enpwyimn4MYbb8Suu+6KpUu1CXTzzTf38m+++eb23tKlS1Gr1TBjxoy2eSYKo9K3Fi1ahGeffRYA8LnPfQ6HHXYYrr32WtRqNVxzzTXj2sCESYhmA0oRKCeIShk9NiegnNiKpr6mQpOYvK5AOaHkNWjmwr79ujgx+n4mS4MB6WS+KqYFdnmORstkzD41kREt7J9YRsEmV3Mdnre0pWxnZzizki0LThkJVzAJ5nfC87SQAbCouGVeHfbOmGlEuRRe16aEfvspWNm+KuW6xK81idFHpTSHmSXUSrml3kIQSMXj6YR9deNsNowUyAtCtRLszC1gd/fOJFkSok1jZNUYKciah4zpzfsGKFyGTTBKFJHbkDMk2pz08JhGxdPL8Jut9sWUffbANp//JDY5cN+Ov4CESYpROPG2PA/gySef9MxMPT09bR/Zaaed8OCDD+Lll1/GDTfcgOOPPx533nknK9JvjwlK2gnd5HmlMSoyc9xxx9nzPffcE0888QT+8Ic/YOutt8bs2bPHrXEJkxM0fTZo2QtQOUGUk6XKdRA7SICaCioHVFMhryuopkKRA3kONAu96zZ/C2bTpiMPQZ0ml55D/Vgpgk1M0faCx30xT+jcxMmImUAZkfIKQSuh8R6PEq+AgLT0L76CKUzjK4X85/zyTc94BGBLIgRQEEHYEYwvRufjxe8J4YiIDiNUrmwiHQuok9IlhP9pRsH4QpkvQik3ooIIBUTpmqU/DXnSChQ3iwlNbhH+dlp76PlpEVmS0kpkdMnGNOW1ucSqex7EQ4e+FztdezE2PSbtvp0wOpjVSd2gVqth++23BwDsvffeuPfee/HVr37V+sksXbrUs7AsW7bMqjVz5sxBo9HA8uXLPXVm2bJl2H///cerO6NC12TmE5/4RNeFXnjhhaNqTMLGAZq2KVTxCFSTQIXSb8kNBSUEhNSB8lQOqEKhaCjkDaBoajNBUZoEuMkAEHY+U9ATZUzwcJO5ALz7repMDE65gDeRGyWDWL6WPgfl2HMRPzdPtfQhMqkbi4tVW1ryk+ePYoYg1s6Q8LgoyY7YSKkVlFDZck+Z8SE7cRu1BgQbE8eaiQCrkHg3gm8jlNa58mVQKFHGFdIqjCgVKQDIC8A4YhfEYgaZss1JS93xkSJwXxtHxpyDNCcyuowoWSPgj+9ZBNHXg9lvOziSIWHSwvznHcvzYwQRoV6vY7vttsOcOXNw66232hArjUYDd955J774xS8CAPbaay9Uq1XceuutOOaYYwAAzz77LB566CFccMEFY2/MGNA1mfntb3/bVb6JlpoS1n/QyhWl+ajQEV4loRhSICJkFYnmUIGioSfKvE4oGkAzh96NuZClXwS0SQJmgnKzREfTEuDLNCyJ32ppM1rzmnQzmRl6Y9QZo6SYNnamSm2aytraidh4E7zXxkB5KcsTQRmAUV78fmpFx3REn5m9pGIKeajI8Mm7UABl5X5Y5OfxHaRjVNTl9cx55bgYM5AOuKdJlCoEKpluN/+dGDMTwZ0bBSVOzXjbIm2CIzQqIHfDERk+hn9856mQN1yGmW89KFpPwiSEEO0937t9fgT4zGc+g7e85S2YN28eVq1aheuvvx533HEHbr75ZgghsGjRIpx//vnYYYcdsMMOO+D8889Hf38/jj32WADA9OnTcdJJJ+GTn/wkZs2ahZkzZ+KMM87AggULcPDBE0vEuyYzt99++yvZjoSNCVOmg5RA0SzXJAmF5hr91q+yAs1BhbyhZ6q8AQw19GSVF3optTJkpizO+Hw4dCYOAm5GdM6nwptG2xEaETnnG1V6tXThHRxOzp4ZiKdF5nci8lYiGWdqR2woSjjAHIZtUkBOuK9PuYoayivHalIIR4XYFVCuBiIAsiRLBZCTQCYdCSEScdXCtMEV32qqs8SoNPvA7N5d7u9VEpVM6tVvro9s7+4234Ov/jjtzfTb+M8IIUHcVwcxXc3vk2u1pTv40zs/hKmvew22WHQiZhx+UNoKIWFc8dxzz+G9730vnn32WUyfPh0LFy7EzTffjEMOOQQAcOaZZ2JwcBCnnnoqli9fjn322Qe33HILpk6dasu46KKLUKlUcMwxx2BwcBAHHXQQrr76amRZ1q7adYJRxZnZkJDizKx/KG7/EQY/twj1lwv9pqyAfLDQk4gUaAwRihwABJoFUG8KuyIlL/Q5SrOE7xhrVswAoSLBnTDzQtiyi5IcKRLIEff1MODqDT9i91ueZZOXZ/IRbiLzFZaIaYg/E6xg4nFmbBktZXKq4e+u7VQNf0JWBLsLdqHgyCQJ5KW5DxDIC6AwpheYjTMJVQAVSZBSIRMCtaqCFIRC6YjOZpURyvJ0jBlOjoAs03F+fMIVmKBgfGHI+fvA/SY0iaEy/o2wK6zM98FXXEnBDF7CqW/GN6YogIJcv7WpSZtAjYnJjB0xpYb/peVbMITij3lixj++GTtce0lSu9cx1mWcmZeveBOm9Y8hzszaHJucfFua35C2qUqYAMgD3gK8ejcUDe0fkw8pNAYJ9UGgPkQYqgusrUsMNQTqDYFGU6DR1OalvBDOzEThBOFP3OFn3InUkYnO79KtCAnPeL8VmKXN7drEV/nw2p1aEJqCyHuWw1O6w/EJ1J12cyuxw4gxhuAY8tMsBJqF1CpbU1iyVHBzTFB3N/AIBBz5IMDu+WTy2d9Nhy/M+AZ52y3Ym51a0rnBhoi2kEyhyaVZ9i4l8PL3b8aj7zoVNMGRVRNeQfD/pKM9EgAkMpMwARBSAnsfCABoDik0B5UmLk2BoSGBoYbEYCPDYEOi3pQYbOjJrzBEpowhAriJy6gvNjUw2fgzlx+vhTD8/j4x1SV8qea1tel5a16Kn3eDliXM5lO01mR9ZdgN/ny4FNkv07/plib7So9HqOCiKivS5sFclSSmEGjk+trEYVEmEjOLHRTrY2uasGnGP8VF3hUwge78PK2/CFea267BEEUecdmqa236HfutmU+zBYT9rZH7nkxEYwETy0cHFlz9o1vw2PtO68pkmZCwMSORmYQJQbb1dgCAvAE0GnprgXpTYrCuyctQUx/1XKKppH6jzyV7s3bTaExpCX1PEMkrgjT9Bi5azEghgRGR87B+U3f42ek9qqUfw7x0tVNc2r6wdVBUAN+85N/rtrDWnisAOQE5tJ9MXjjzXq6AZi6tmcYsZeZ9i/VDp7USlM5t9iNF8/by5fxc7bKKCX8RRsxJeDg1hvnG8N+aLdf1mQcRNORm5U0/wZ/e9A6suu2XIBOOOGFyIPbHZqRHAoBEZhImCD377Q/ITJMUJdDItQpTzyUaDYGhXKCeC9QLoSdBVb7l2wjA1KpMRCZyE5wtoonYZ7xP+H8jwnP+GcLl5W/nLp5L9Jk2SglvZcd38khjiM/OLffi19Ys00YVCc15rn3t/5oqAIX5LH2SGiTK8/I7Je2L4+ru/q+zn1e4NGqXB3BLyX0iw2FVGE5sYIgGRUhk+C0J78ySGKH/4Ar+o4Irz+0j5dQbY3oauv93ePwdx+OPrz0Ujb9O/A7FCeOEZGYaNyQykzAhkLM3xcBHT9MxP8pVSs1C+8bUSaIJgQYJNMtJsICwsWXiryWt5CTcbbnVj8afhHSJbnclGXzyGqX3jHsuNGEhzBfOrW3IBQLFoR2hCf+UcTNKWB7IT+ekJSQuYbtUcN/VH28Z3/rBfn8wSs3/396Xx8lVVPt/q273TLbJZN8g7AmGHVnDviPIJpvCTxZBXBA0IuITfcjDJwEeAj5B3BCUVVFWBQSEhIcgAopiQEBllYSwhOyZmb5Vvz+qTtWpurdnSTozmUl9PzTdfW/dqlN1O1Pf+z2nTpl7WoMhNgoCNV2kBHFb9Y/zXC66xCKBemQj/h7Uy8dBFAldGcmlIGv3G2K/hZggxxuGcmID0G7l5lWx+1jl//wn/rHXoWif+1bZsCQkrLVIZCahzzDks2dCNDWhpqRbmtuh/KTXAfNkTy/aUiBGWV4ZHz9jIYK30oDWzhRciZDUgJMXaPvEzVZQAaWkpp76UgbNP9SJHQmpWHSOCEJAFOJl7SVEhjerPVEIx77M6nrExuZ0gSUz9p2/DCERhSrKHjzrEkBbjyc35SiNualfvAD+Gwrvd9GlybhQ6GZyK6cYAXJ1+T2raMNPuL2pNMTCBXh5lwNQm/9OD6xOWCNR9kenp68EAInMJPQhhBBo+djRgFNLicjQEl/z1F72LzZ4zhZFQsPdAfWU2OBvQkQ8uDrD91QkFUYifALnLgnJ6uOf66nCnQW8cmWgYH8kOBBJiZcDl72C8u66wDnmGo2Dg3nMCjes3t9Vupek0rhNF8FWO9W51tfQMwSkgUXR+HtQdFPG48Bf4NfyzUrZyiRyH8VxMYiuL8ZGMYUGZftnGdLjN//UEIvfxyu77ovavPk9HpuENQgSPjfASr36ugNrDtJQJPQpxnzli2geMwJgLgLuKIhU/+iLjiYoD4H6K3TigoWnZzfVakZYNGTwHYEbwfxtsdcINl2L+lN1eeCqP1cWkFteT6hExKqLW67MFQtHbIQvW2INz2BrEO5/FbtVihTH10Y2hIoM2GiH4KuKegZTkxTeUAG/mojre2UxSzx2iC/h5r8nut9mDHydouxY1E5IgDSzgykyQvu64L8TqckkgPffx2v7fRi1+W/3eIQS1hD0RIGp90oAkMhMQh+jMn4cNvn9vaiObDFPniXOjLJnf05gSgNWeR2xsoD4O00oxjdFwZekzAQxEJKCin2Qppu4hFdppJVz4pgIThJ0ZAXInROd01GHApWFnwrK8HpESGy0yeuiGJGhtnmciL++jFKasaJgY7oXPAeoiK4gKAS1FK4oyx9Ew6ODzpZTvUAJM71HJtk9ZcpH/SXg3L0W2QMApPzZuioZAPZ74LEv4b3XQT2xIsOvJzvNsm36/fl6pFSQ78zDm9vvjPe+8lV0vPhi6XgkJKwNSGQmoc9RnTgem/3h1xixz85oroQ75NR7EAkDfcNjhAIpoImLHTOTh98/marwWWFZG2yy8RljeQ4SinGgyUn71SuB/hOTtOBUSc/Dc3XdVYXP1pKAoPggak+KjFpixouuqZfvRVgb6J1s0u6PCXfLxfbFNnamyHgiYOsV8ViG11CtpGSQXc7lJ6P7GdnJx0yV9Dt8EBbu/z5uhmX1BW+rmMCQZyAO7dNBO47IsPJmhZNGhYh1RzuWXn8D5u2zH5beeVdhbBLWYHS1Uqk7rwQAicwkrCFoXm8dTLv3Buz0yqOYeNT+wRM+n/jLJqKyVTkF9aLekl8RfuRp5smtJK3bKGPSvysj/ROzeWoml4BXcEJXiY6b7eRoObzrRxTm9VJ3k30v29zRHWOuqtjFFY+dKIxZsc2y/sWvGPE1cYCtcxEFf8PDWkNVJoxFoftLLid61b8nxX7HBMW5F7V2aQCMKygkuTGRccfYO51z5Ib/bnR43NUhAZkBMjNbNCw44wwsu/vXJaObsEZCNOCVAKCPyczVV1+NrbbaCsOHD8fw4cMxffp03HvvvUGZ559/HocddhhaW1vR0tKCnXfeGa+99lofWZywutG8zgRsfet3Mf3/bsQ6R/hdWN2/Wx09TeviZ09ehDtO7pByx4R3GfjJWRcmIE50/EToj/MyPvaByE7xIarwUFXi8uBxHEFR26cyN00JLQBlw/XXsnPMXVVwXZX8tTTXFmNZgoDo8q65zwU1ht45CRGmYLiPEl/OrJnaEn6mMTf3wmf15feIrKE2aX8r5zpz/WVU1BruVrYRqZGM2ARkI3RxBSoLc5mRDQjKIOirQESEiAS537f5TS743OlYduedJXchIWHgok/JzLrrrouLLroITz31FJ566inss88+OPzwwzFnzhwAwD//+U/stttu+MAHPoBZs2bhL3/5C/7zP/8TgwYN6kuzE1YzhBAYudv22P72q7Dzb68pPIRwxYErDQKROgOuPpS5TYRtz7YLRJMeIyV8QpRcnWEEB/7J2tUeffcTYKibCG9ONBZFhYWPk++LO1qoo0Be6lIOEZGYzh77hCOAZCdEmB23Jw+NtieM+Gm2EoyrID4YNpNEQliQNgvADd89SZXCl6X6aNNNfi9L7RT8XrFYFuZyzERkF91vwRLjMZtidyZ3pfHfkBAIVu05MiwAIUlhM8RmwZln4v3//Dpq//pXD+5CQq8juZkahjVu1+xRo0bhf/7nf3DqqafiYx/7GKrVKq6//vqVri/tmt3/8eYv7sFzH/2iC8bNMj8ZQfglq9Dmj3omdeGPPv+V58pviZBbRkTEh+pweWo4MUH4t4OTK5qctP3izmm/asdkLxaedPF6StqJJzYpiudpQo134iaEAbOmBU+keH3akqPwz0Gw4ikaO8re6z/bdwiXG0gjXrnk263ABAxL+kwJ4jJYlx4RDa5YGCJgxtGqbdr3iZMNIjuBGgJPKLWtI1blwqXRxd8Pd8OZ3dzNTacd2c0omkSQtJt3IaCZ2ZE5IsVzz3A3lfaB5wAjSfZ3mtkBFobgikgFHHzMsWideRFEZeV3Z16b0Ku7Zt90AIYPqa58Pcs6MOL4+9P8hjUoZibPc9xyyy1YunQppk+fDqUUfvOb32Dq1Kk48MADMW7cOOy000644447Oq2nra0NixYtCl4J/RsTjtgPcnBzSQBpGOfBSYOG311bKbjNDJUKJ2j6m++UmMw8WcdqCz1Vx+qAT3HPJs2SPvh2dLg6RYSTG0fZY0bZk0fZRFl+vahfSYnV/oiuW298VRy83R2Y4dUu5YZ38flEcdLlWAH7bIitlH7JMhGTLAic5cuovRKT2esrGdWrHaHgMTgAEaHQLq8MMSJCqhL/jbDYF+c2gi/n6y9RZRD+pjixIsKuc0bGhYZWGir3pGvZrb/Agk+emnbfThjQ6HMy8+yzz2LYsGFobm7GZz7zGdx+++3YbLPNMH/+fCxZsgQXXXQRPvShD+H+++/HRz7yERx55JGYPXt23fpmzpyJ1tZW95o8eXIv9iZhdUA2NWG9L5wEHodq/njTkzlTD+yO2loZdUYpS26seqCinCyOUMDnoOLSP8U7ZKLkCd9OPIVVTxyxmgL/5B1uYMjKRMRBhwwucK3FqKezmvHRbuxiZshXO8UoV7JXTtAti5XhYxLEtUhLFDh5ESYwO5OWyBQIBCJC4vsg7LXC3mcfU2PJD2IyFZELdi4M1PV1ZURyhC4lOP4+x4HM9cbbk7CuwIU1IcP+r5j1MBZ89tNdV5LQu1ilhHkilGTXcvS5m6m9vR2vvfYa3n//ffzqV7/Cj3/8Y8yePRsjRozAOuusg+OOOw433XSTK3/YYYdh6NChuPnmm0vra2trQ1tbm/u+aNEiTJ48Oclw/RyqowN//8w38Oa1v0SVTziBBG9cJeQ6cMndBLkF6K+91w/IRRR/JnCXDD0J159YQqWI6qSKiZhQHIyL83Hlw4oDlxZfsktP94xYkauCrim4RexnGicqy0kUb4v+RlICOXKjFNxMuRlXf4720qrvZqJ+VECuJo2qADKpICVQkRqVzMebVDJzJZEQGks3dm70/YeQHIY5XNzyeRdUXLz3zl1oG9F1xpby9ggY9S9XvhY3VvDj5X+BnACHqhG1w91N4ZLvYi4mwKiK0Pbddl5IQ+wBQEiBpgMPwqirvgch+/w5do1Fr7qZfv6hVXczffS+NL9hDVBmmpqasMkmm2D77bfHzJkzsfXWW+M73/kOxowZg0qlgs022ywoP23atE5XMzU3N7vVUfRK6P+Q1So2u+ZC7PbKLKxz9idhZjQ6K1z8glv9o/yyY6PIhPJ8PAEKNtnxTLF0DqAneOYmQPmDUeHxgE2uftk3gkkL8BMXb5PX6arln6M2YyWnPNeOo0V10dkjTj23FhnHc/bwDTkz9l2y7xm860dGk3fgXgIgpHft0XJ4rsaUEbQy5YyvNpNZTBaKpDWIc6GXoN+AJ0U8U68ge3l9QjMXGFsRh/D+OyKDIjErIzIAWDZCc5UQAFSoALXfdw8WnHk6tFJISBhI6HMyE0Nrjba2NjQ1NWGHHXbACy+8EJx/8cUXsf766/eRdQl9jUHrTcImF58DUaVgRp78jT0Fw8fUKMXiZ3RRPSHEScz45Bi8u9kFrnw9iPgzn2zZtd1xIxBp426mYk4YX1qVkR7+ucTNRIV0fKxQQ9nJcKPNCuCWMGfwAb8ZNKrQlsyYyd25aaSJYTFERgexL0RcKKMvBFjMko+ZCVw8IrQzIAf0boNmSX3RrIt0z6i7TqER4f3jG0NKbi+dg3eTcdIcKEbBbyEk0vwedSqls85p5e+jUoCqaagasPyuezBv+nQs/uEPoRYu7Ky2hNWNwh+blXglADB/X/oM5557Lg466CBMnjwZixcvxi233IJZs2bhvvvuAwB8+ctfxkc/+lHsscce2HvvvXHffffh7rvvxqxZs/rS7IQ1ANnQIai9v9C7iBhBMWGO5ozSwk1QSvl/+261EsK/Cdw1FZCPWNVhpKQrRy1vh7sruG9DwueSqff3ia+Uos804Qb5YUpITFAP/EQcu1dK2yzvjavLnxGuL1z54goMbKAvuZdcgC8nK4yQUB1ClsSO2L5LSXbqyGXElC5mfqy4aK0LvwfeNxFUEI2CO25Xg2lfpxSGVAuhoSXcqitqy7y424vXFdrY1bxVsIcZr62/TzM2lL/xJhZe8E0s/v4PMO7Xd6MyaVL9yhNWH1aVkCQy49Cnysxbb72FE044AZtuuin23XdfPPHEE7jvvvuw//77AwA+8pGP4Pvf/z4uueQSbLnllvjxj3+MX/3qV9htt9360uyENQCjPrxX9A/ZTl9a2D/cLPBXkUoT7lFUhmDiiCYUCHad9u4rarc70WeBxdFE29nfNVc/s9/FsiBUadw5HR73lXVuo3uad+XKlxYX+sEmagmzMWfFqTDmc5MwRKYqNLJMufiYTFrVQminvDg3ECMyAmHAtog/O6WD21U2nr6vyrpniAwG6lc0XLEryoyO7z9v3x2DdxtJYfZxosBm7nIiFx3VVy+2MyZmUgAig1mSHV1URmSISQkhoN9+G/M/dBBqb75Z3ljC6oW5aav2SgCAvg8AXt1IeWYGJpY+9w/8afsjoNvbCk/s2skW9rt9dxlAbE6VzOapoad7KknzQcFFo4vfSfUxn7tJaER5XcpaWXaOfXOfaMInFSBcZVW/bT9ePmBag0+exU5obVxcuV3eDlCOFTMFU4wS2D5PsHXm2rh7MivZKGg0SW2CU62bqSJt4LbNmMsn/4zyzACAoDBu4Y6RKhWPK33nvw/KTcSzCnM1g/9yuIpWRkK5KwcgAihcm7kLS7HuTk3KEwUDG1WGFMNYjYnJjLl39jeasWNSAEIDWnhZjBNapZ1i51xk9ofg+tc6AuMeegjZmDFY29GrAcC/PGTVA4CP/nWa37AGxswkJHQHQzfbBNv83y0YvvtOAOIJ3882XQkS8bxf9sQd1x+oICp0cXWFukSjriITt+sLemUo3Nm5oMTUt8aUD+qn4/5Vvq9VcZAMadCRcqJRsbEiFakhM41qplGp0GaJlrzYYF6f48fHx7hm3Llo08cuyBtN2rHa5u+jMKSEviP6rcSqVEQ6AqLDTgfqjPAkDeC5c9gScfbqpEu+LQlAAqICiEwAVp0J+6gdqSEDg8R6wl6z+H28s9fuWPbzm6GWLO5G6wkNgRDFm9+TV3IzOSQyk9Bv0bLdFtjm4Ruw89tPYsjmm5SUYJo6m7h5RlvAqxTxlXySd8eZq8q5rkCv4rUFi0qIRnd4R2xD3Kdi/VzhaewfvKKbicWzEBGRPBYG7ntFalQzS2QyZbL9SjN6BVcRfGAtVyU4+D0kpaygcpT0gRM/vvLNHBPuXIHIMVVGRAMhhAja53bwvmWS94uIjXakh69qKgOpMeRWElJAZhJSCktUyH5d+HEJNrhCArIiIKsSsklC1FZgyTfOxTu77oAVv76rvgEJjUN3Any7eiUASGQmYQCgOnIEtnnyTjStt05w3EcfhPSijLy4cyiqIfyzDz3wOUR4uaB8N2wvVYtEsS5vXWdX832XdJ06GgU2ngD47uDuRZl2pU9yV2HfK5SFV/gVTGYDRtpigKkyddp2RyJVqm6/tX8jZUtF95TXVwZDWkh26dwuF9PC350So4MHbIHQ1Vc3fgpEHAWkNC/BVJlCEHBgECOdJgOhI0SQMPXU2rD4KzOw/LZb6w9CQsIahkRmEgYEsqYmfOD6b5ec4ZMuT07G5yEbhyDCK4JlzqqcyNCkqFE+AdZTaeLj9QKSO4OOlpmXqzerB6SUUEbdOPCWp/v3gbyeyHAXi5/owxVL9QJg4yXKnRKP8MpIxeLqVkhOgyuJt3RjOIOYHWtkHAsDePXFPVyTiIj6D9xxPznhK73Aqi8EmfljMrOKjpSGiFKcEpEjqbH0G1/Bil/f0XWnE1YeKQC4YUgjkTBg0LLztmhaZ7z7Tq4L+ux3vLZP/J2otdxFw906RFp0cM4fUyiZdKhOFElMqdup7uQcnjA2i5IzvD/1Z+CVUahD9cBXwpdUkyJDMS48PwyPD+F7L1FVZfcjdPnx9T71x6rYt+6yRRF9jsdcdPI9tEuzQ9Qn2perzF6u0JSd5wHLLg6Gtu7IGRsCCjEx3iUFp8aQhObcU5l1k0k6Biz72llY8eC9nYxXwiohuZkahkRmEgYMhJSY8sOZhX/ftNTX779DSdV4pItBPOXxxX6x+sL3hjLv5cSijMBAhxmK6fqVdQvFf9LK6iknbPVcOXXascuvqT5OLeJYRgGeOI7lfJH8evZ3uZP+kL2KjXng9tPFQGVvV+xiLK87brcQu9LlIHnb+BJ+Pl5udRVCUlj8zXqyR78gR04At/eY1hp5jcmENC6AJyiZcUMhA7KKcKRGVkRIeEjJkYDIhDmfCSw75wy0/+6+rjqfkNCnSGQmYUBh5AG7Y9Ob/zeYHdxmkZQaX2p3jMcY1FNnnEuJzxndUVPK3E6sDn6eJqbO6uN2cneFO9fFZEsTaem5zi+NDAldJF414BltwxiRgKxwElUyoddzsXg1jN8PYUmhdyGF9XgXYr2+d/aA64a1C1IjyB7mqir7zi/gJCc4X0ZsbFeoHUdacnppKKWga4ycWoVFZsatlFUNOfEuJktySLERVr1hBAf23i398uew+JPHoX32g2krhEZiVVYy0SsBQB9nAE5IWB0Ye/RByIYNwT8++59of2MuAP+UTQqBlBqUO6W+qiEKhMafr7NayFZY9qTPJ2TlKg7VmK7cJpTtlqsNXSN04/g6mWIRtVMPXFHIaXKFz7zL64jzuLi6C3b4z2V/n8Ml47xHNBYiOupLcfWHSrhaRPESb4su8BcRMDJqX7t6y+KXnEso7nPYHV82KGBNLCFbWgPItdlJXgE5bN4eDUi7o6WAUVgEBCA0ZMWwFCI6kOabEPD5aYRVdKSAUtrvEAqg9qc/ovanP6Ky9wEY9j9Xpc0qG4FVjXtJMTMOaSQSBiRGfWhP7PDPWdjqkZ+jMnYUi1kA2x8HLkC18HTMPocuIlEox6Gjd15X8Qm9a7dSqMaQu8E/fXNyQcdKr+/G8c6ITExEeGwM37E7Xl7cmdrCW3dlRedja1Yf0T1g5CYmJfydjyFvi5/j14iSMqRWlFzL2+cro+h43ReKr9I+iOI5GhCdm+D0vGYVGqWhFVxHRQbnLhLSuI5MPhq7tJtWNAmj3gBwS7vd2EWzRO3h+7Fkxqega7UyqxIS+gSJzCQMWAgpMXz6B/HB536Hyrgx5qmVTUouDqGwjLkYf1FGaOq0WndVU9hG91xVRnkwn7kLJ5hPmftII56Mi7tJxz3qQowpJT5uLFF0OQXXkIHBAJYTEU4oIguY8mHkFB7vUz7ebIPKOqQq5iSc0Ar4sRdWreDxL+43FHWN28NtjkkMAEM63Hh491HU9cBGDrcbvK1DKW22LwCpK/bdupmI0Ai3lJsCfoULCObuSq3tg7/yY6pyDdWh0T7rISz5Utp9e5XRVXBvd14JABKZSVgLUGltwVZP34PqJLbSqeTvQNnTb0hiSs7r4vG43vJl1xG1KHFRhHUxVxGY/dHkHBKOsOEwvmXl4EQKZgdgYpH4uVJbARSCahGOV3hfeMFAO0E8fmV28rrL7ncpweHjWtIELxsOL9v7y5236gzCnDaBMqNFSCsFU0WYGbH9sVtL6fB7oe/Sf5ekvDjCYz8LQ3gCU5hfTncAUOZ3pWoKy++/H+8dczjaHv99IjUri0RmGoZEZhLWClTHjsZm/3cHKmNGF1wrfALuHJ0XClfWhMfYtNQte8sIUmxrPGGH5Yv5X2zNvkxUf08g7P8EGDliS635O+tVZHN3SFVnhongU0ykOIIVWKI4hgVE5NJsC6BDBSVQ2XQwsvFvIV51pYO667vWYvuZadFxEfo4I7WHdjQnoib42BGBYlHSPJMwAKiakau01sg7NPJ2o9B0/OWvWHDC8XjngH1Qe/XVzjuRUIRjmiv7SmSGkMhMwlqDponjMO2p+1AZ1QqATWTd/nsQzjiduYzK4xx6NnnXq58mbl5bqEDosDxTRQqt9eDhrrQsazfOZMvpG+21xHpU2gapDNFRAH4pPd9hWrK+CRG6iHidXQVWcxcTvy6og29PzlxccXAyP8cVE67O0I7u4WaUOqrB21a8R7F2U/7b1GwwyQVFrjGfWoCYXkn1zC6jyPg6tTb5bXRNo/aPf+HtQw9Gbe7c2NCEhF5BIjMJaxWqY0Zj06fuRzZqZC+37B+bu69KdF5TrPMU3CUI0+NTbE339aFyFJQhOqb9Z8EK8My+5lys0Ph+1SMhvLwjS4JIVE+IUf3+BNdGNgRuQHeuSCB4H5R7F1CWuBC5UXZ3cXPdyuYXCtlHOH7WGJu5WtngGrfxJBXhChP/YcXVw5AhDV8PckPwFL0WLMb8ffdB/tZbK9OZtRNpaXbDkMhMwlqHpnFjMfX/7sKgraaxiT3yG3Qb4R+TolspLOXbqgfmrIjISVfqglMvBA96ZRsXinrX9RylhIZtCuldUAjaJpITxtEU1RPvFtKuTFAfeP8QvMxRRkSAAiEp63+sznBlxdWjTOX0HttLvaSs0dS2UWCEVWOEq8u1EYwmimSvB+oZyE6Kb8ktAXEBwlZR0ea7pnNuXw5Erik/qE6VydmYsn86evFSzNtnX+RJoekeUsxMw5DITMJaiabJ62DTR3+NKQ/dhmF77GyP0h+G8C90oAr06G9HCTERvL7ukyeuCBTqjD87W3VAqQQr1+i/gZq1g5LP8fe67hzE6ge7jtleqqbo6EXUkSk0ncWo8GOkNjjVhF9TotbEPQ+yOvM6NQyZcbEzjH1FCPrYHYXJ9Y+5gch2Uk9y7UiUdztpd5z6YzIM23pI1WF9L6g6HIsW4a2DDk4KTUKvIpGZhLUWQggM3WEbbPzrG7HhDd9DNnJ4sQzFawRHy7R5djaagOkfGU3q4WTslQf+TvWUTZT1JuSCYmEv8aoGt7nOjN4DxASqXm2h+6PYbNk5IjSxmygmQqWxLq5kcQWRc/WgOIahImOIhrsW0XuJylPfJSVshI+ndUoF+eiKNvAOd4FSYsrJh/KEBLAkRhGpsWqN+6zDOBvuluLKTRfQ776Lt3bdBe9/7WvoeOmlri9YW5E2mmwY0kgkrPUQQmDE4R9C1jo8IBzeVSMiVw4Q6R1Rff6MZpJFfEW526RYD4eqe86TIh6zwgNk6d2rRI2TZ7iSotmcV3D1WLt42bLP9B6TFwjUJXycTNAu5/RZsWBbfyxWcjz54VDR6rQyMpQrPwaKLcmO7fJjIxyfLFWfeJc724shvs6xSs0MYAW1Jyham+BdpbUjPCYWRrvPWsMTnZj/1iM19set2zuw7Ibr8fb++2HZ7bd33oG1FcnN1DCk7QwSEgjLljv3jHky14AWhghoQDqdpjuIFBd7JPju5iht/yv/w6QZA+AxIdydRCXM5K/DwF93tSc5qyjKhPYxO6leyo6v4Z+Ycg1UMnOQJal1hC9QdzRTOyCQCRoj1i5XMRjBoOtUbnOqaA2lYdP9myXUQpvMxRqGiJTF7RiY+8+T/NFqMUdeVHEpvn8Xrg+e4tjfVuntZr8brnyJcLWTP15ShfDjQHVqzQg5q0YDEMps4ClqJlswlBkvmQmn1KhcF64tRUTMSSV8/4tfAAQw5IiPdFFBQsLKIZGZhAQLUc0AGDVDW1nATDv2KVrYKYlmT09RgnrCiYQ3ED1x81qsBGEmrS4euHRIjLS2mzkiVF5czAwxC7rGzUtF23sCPqFrZcgKICCgoQDUciCTwjIb7ff7sZNtRuRCA1IQeWTqjSUBEiwGRcHtA6VZwfCz2ftKCNuedfHk9rPSGpXMvJP9kvWn3ogoDWTCKxREMEw90pVxhEXTKAtH2LQWoLx0gUwFX6/lXy65XRmJKYUdFxkxXq0NebP/C69x6pD5bSvuZtJAXjPqjQAC91NdE+r87gFg4Re/ACiFIUce1b3+rA1Y1RVJaTWTQyIzCQkWTZMmoP3fb1kXk/nDrS25yIWZC/yfcxG9e8Ruo7hk2RNyvWBejq7mNB7wGyyHto071cJV2Hl9XYErMvTgrjQsM/PHtV3JI5UZRCGMwiWZiqE0IKwaxtUa3m9BZW3jOhpZUkCgjatH2I0UHdGxKgHFwoDUN9egGbB4yufk0igtmpEsXzIIoLV2GaLACZc9X3KPQyLKjwvr9gltKoAZLgTcnktlG2QW6lCAIsnMkrBcabv82hItVXZhfRgbhCPp0BoLzz4LYtAgDD74w92qY+BjVeNeUqQIIY1EQoLFyKMPBW0ELKUnAoGL2sXMdPYHPZ5mywkKr78rBLEhderhDZa51euRq+4gtpFPzLkyJ3MloBRQUzavihao5cIqJRR8K5xSkdNqIZjrSNlxBEB7okN1aJuzRbtyCGJdciXcZpR5LthxGFtg7KnZc7n2MTU8Wy9XnQAfX2NiY7j9pBJpeE+M9xHxVVT0boiU72vhPgoE2Xdj1OUS0e8gWEEX1anJBjtAWsO6lEy2X2UVGRW4mbTfyLILBG6y6Af4/pmfw/IH7u+6koSEHiCRmYQEi9EnHYumyesACDcn5NMakR1PaHRwviwuzx/TxfNEaKKyHOETeXl8hmD1cFWGgwsQvFeeMISv7ihE9FkpAa1sDhVHHszxXAFKyeAckQJln/hJ4fBLlz0JoUlfWUIT2OyIhXCkisopLaCUQC2X6MiFi4/hdmklXMyLAlhGXt7PMFbKERg6bgkW3Z/wehG8O8UmIjt8vjf3STNliqk65bckhP0h8A0kCww2uoeaERqzYaUhNLSxJOx94upTUC+iz7xTIHvsS2gsPP1TWH7/fd3pzcBGCgBuGBKZSUiwyFqGYeojd6IyfiwApsoALsiWQkCAImEx0P7aoPbyaahkbgmvCk50nSm2k4f2oM7A5RFdH5Oloh32oV6FqonJ9i8sUTDvRE5IxSD1hkiZYnlYOFEjMgJGTByhUV7lofqpl37LABEQIyIceW4UI19G2OtE6ZhEVLVIalj9wXWkwNgjRH74PewWMekhhESgyngCUd/V5BLh2Tw04OpMrqFyr9qQWhZY39V8yufeTEBWBGQGLJnxWSw+ZwZqc/666h3vr0hkpmFIZCYhgaE6ZhSmPnIXsrGjAbC/Ge6zhpQamdTIpCc5AG2uGJIduoZ/j8HCNQpEoxzClefvZfUSOdHaL1cOErrRZ7ZUGSja4epgdfI6lJvMhXUzwQbdMuWD6oHPhAtwogJPDJiSwckLESI6z/uknT10LtxCoJYLKJDbi7/Ctr3Kwl/c/eXbyKN+8THxfYFz63hVh90HejEyJGxwk47ZJrv/wRGnxglGaMwPV0obPyTNztgAzI9UwNXNc9EoS2Dy3KwI09q8Q5ObiXWCfn/xb5spQZLarlgiU5HIqhJCAm333oWFHzsCi8790tq583YiMw1DIjMJCRGqE8djymP3omnSOPf3whAXhWqm7AIE42TIpPksJc/pwmsLAzeBouLhgmetakHHLQViT/Xl4MSDvtN84/KtgLttEEziPDNt4fpgsuZteVXDqynefr/3kHD9ALlXGEniJMIcE8Ekr2JyQXW6+VQExwAiCT7LLsXYUP1OIdKkFqHQNne7xWNM48BdSzT82hIQFZUtfGbkhk66OBYAtEt3UKYu7GAIAEI795LIzPJqQ1yEc/U416ZgtgAmn4yC3YPJ2+Rdifa7iprWUT1M0nSEO7OExipFsipQGZyhMkiiMlhCPXAHln75dOg8R0LCyiCRmYSEElTHjcUmj/8W4782A4OmboTqmJEYNG4kpAQyaRQYT2S0eReMegi4d/M5cjEQkbDtKZuYjM5pNqlBi8KMViAw7IMjHTxxHFMPKFU/JXojwkBlSW1wGwjyDRIVuW60rVezSVoH9sSuLToerABybh5bP5XhWwnAKzHmsw6CbMHPBe+hqOFVqZg4CQQkSsO5yLzixEiMCgN7PVkjYsOIG7OPJeH1yg2rgxMoFe39FCLolVNGXNC6IIVGBATCKyiiUF2wdUFko2tRxy37bwWxgOzJAGQCMjPkSggBWaXPJq+NcT1J1P7vQaz47iX1Oj0wIeWqvxIAJDKTkFAXlZEjMP6cz2PTpx7E5i8/jXUv+yYkNDKpkGUaWUZEhv4haTah6IICXHDbgCZsv09PwWXClycx0ITBJ8fQ1eInypzIi46Ji3BqECkwfvWRYCuDvKrj62QERPt+OPsACOfHYLbrsAQ/pNwKppBcETHjdscBrH4MPKkothO7j2jc/cokp0TF48rtYue4YuZdSlH8jbOL3evIlUXkrZ6rrxyeRhFfphVLIvPKCLmejDrifztxVfx3GZzSRVtoI0sOR5akcPExQgpLaoR7STpuSY2sGLuyqkD7L66Den9BZ50eWOhlN9PMmTOxww47oKWlBePGjcMRRxyBF154ISijtcb555+PSZMmYfDgwdhrr70wZ86coExbWxvOPPNMjBkzBkOHDsVhhx2GN954Y5WHY1WQyExCQjdR++c/UMm8S6kilVFpJAypoZVOndThJi/Ab/7HSELguoie3ssrjJ6g2eRZeClh4iBcgC5bOUTHNFdu/MSbM5JD5bmricPHmrJMxMKZWwcl/bZkISYXTv8iYoM4kLjYlnPhcMKBaOzgg5OhEREqwcp6EkS2E2mMCUGs+PB3H79D9mjXdhmp4CPF47A02JwmvBojLcsWmfBKTd0AK/aCH1ft7m/9X7Xg95jatO1KG/ArMoGsIiErsC+BrFmiOjhDdXAF1SEZsiYJKRTyF56r21bCqmH27Nn43Oc+hz/84Q944IEHUKvVcMABB2Dp0qWuzCWXXILLLrsMV155JZ588klMmDAB+++/PxYvXuzKzJgxA7fffjtuueUWPProo1iyZAkOOeQQ5H3oJkxJ8xISuoHav9/Eku98B5l1MwEANEw2V2lmHi0MCRCUaZXeONEArfqJAkeVdhMyZbzVgM8WG4HHJ5hm/KQJGBsoqFdAAEKbQFyrlpAbhVxgyi6BNn0x5zKpXQAtJT3zroYwxb+9GiTG0ATrJjom0PD5VGv/nY+TmaQF+8zb0WE5LQJ7Yrto3AW1IbwqIniNWrsYHLo3Uhb7GLqWaA8jXye1Zsr5jnOSRW1ra78W2hEtajvLfHk3vuyDsCe5IqK1SVBnjmkIaQJtNf3wgor8AJWRZRpXd1PBvnJb2EtSTI5TYDQgBbIqICsSWiuIijTExh6jeyiEghASWPhe0ZiBilUN4u3htffdFy6Hv/baazFu3Dg8/fTT2GOPPaC1xhVXXIGvfe1rOPLIIwEAP/3pTzF+/HjcdNNN+PSnP42FCxfimmuuwfXXX4/99tsPAHDDDTdg8uTJePDBB3HggQeufH9WAUmZSUjoBpbecANQqzk3dSaNG8ltIyDNlChlmIWXEMRHaE8e6FhuA2YVzNJhekgO3A6IiAD8pBqoGdrHfLiEdbmtX9NqICpnzpFaQZ/9kmq2csetIuIxLFw18sZ5dYZNtsIGSQeki9wvfLSLx2gVEakiRPyKMSt+bBCdj8NQymJVAIqJ8fU5VScYc2YXIpXGXSf8ed4X/mL9oDil2AUVjmw4TPXmQjOslqoRueHjoeE3lqTvmsc/sUZYv3gfXIAv2ZGRKmOWXsvMkJWsIiCrRpXJqhKyKpA1C1SaM4gKICoCokkgG2LOoboWPWMLgVXbNdvcn0WLFgWvtra2bjW/cOFCAMCoUaMAAC+//DLmzZuHAw44wJVpbm7GnnvuicceewwA8PTTT6OjoyMoM2nSJGyxxRauTF8gkZmEhG6g9o9/uER65t0H9xoCQwHANMFoxIoDfebuE6WESfkPIGcvmnjjOA9eT1miOx64G+dycfExyk/YRGwUi48hAuOz4grrVuKrm0pUEKa8+HEITgXHy8cnfuz373zSp7JBIC4fIzfOxXOxGyh0JbGVT0ztClZdaX9deI73oYx+BKMAt6cBI4OakYZYYSqOiO+PO8+VJEZYfB+1Jy50zu4P4VcpxeSStV5ye4QAQHEw5ErKpCEpFQFRNa6mrCohm8yybFkR0E0CYlAGNEuIZgkxKEM2ogL5enIz9RSTJ09Ga2ure82cObPLa7TWOOuss7Dbbrthiy22AADMmzcPADB+/Pig7Pjx4925efPmoampCSNHjqxbpi+wFlHghISVR7bOOuapU9kphyZs2M0no0kbiJ9wi8fcZAsTL0EEhu84LeAn70xEE5fwk7UQxkOk7EQkBa02ognTKzVuV3BLqqC0uQ5+k0OtzS7hCnYjSEkuNMGsA7OyvK+uuKhzLkBnBKCLcWQEiwiX84xpUij8eIVjKSyvMDfEubW06a9x1ZHNpF74TUF5G/yW+5VSvB9MQXJcxtx/H69ijtVzMcbEkIe0aFuxUoCQCsgFtBSGuOTGHaaVMgnxlCc2KudjWbxhmo1nuGIKLiaHYmGE8AoMpFkeLi2hgSAlRpqbIAFUBVAxTwkCAB6+HmrKNMjpB5cPwEBCgzaafP311zF8+HB3uLm5uctLzzjjDPz1r3/Fo48+WjgXx1bR770zdKfM6kRSZhISuoGhH/9/7h8qVx6cxG7L0ZzoPgfP2h5OCbDFFZs8FLw64BUaruqY2slNRMdztsqHAn69YsPVBk9ktAZyZyHtqWRsKCowgk109dSHYj+7g5X9GxgoU4iVm/glgvEKVZBQsUGJumLq93lrFGvLn/f1+aPd6Ucd0taNa40byV9Pie2UTXqnahp5h3lpyuxL+WRyDVULf1/dBuW0yYjISJcUT1RhAnorRGSkWblExKViicwgCTRJk+egSQLNGdAkoH/ydeg5j/fAmH6KBq1mGj58ePDqisyceeaZuOuuu/Dwww9j3XXXdccnTJgAAAWFZf78+U6tmTBhAtrb27FgwYK6ZfoCicwkJHQD1U02weirrgyOGRIjgok4iGFwx9lEw673qgx95+TGEg9XLkpgxwkKESPtXUCKx8Uwd5Mrz2NfWJuU6I67PMpjKEr6Fk3kwbXRZZ2Rl/JzkYuG9TvYo4nZoBRLuIeQ5CjHEP1yaF2HpMVuPF9/SEp9+c5dRd0lOGG/o6MCwWbL3J2nFNuKoEOj1q7cXkt5h4KuAarDkJi8VuxbWZuufvZOK6QkERpLVhx5cQRHIrPLslExxAeZsIqMNK+hmSEzVQExtAIMkVC/WMtyzvQCtNY444wzcNttt+Ghhx7ChhtuGJzfcMMNMWHCBDzwwAPuWHt7O2bPno1ddtkFALDddtuhWq0GZebOnYu//e1vrkxfILmZEhK6icGHHoLsgv9Gx2tzAcBluwXgwgniJ1vjZSnK9h7WLQBPWkRwhqfzsDK8DdSU3M3hrhPus59ova8njBuh5HNeGTIlY4LiyUN3FBRt/6fslc51BSN4eJeN7RULlPb1W0sK7fF+MDUrVmEg3KCQu0cI62aBWc0lMmOUsFUFritmBf9O6hS1YR1Epj+ubGf32yMO5uZtdeZ5cK4lwG0k6dxAtDK2YtWXmoKsSmho5O22HQHkNW1djn7shBDu3pXZGLfv3jO4HDK0TUFWNWTGba9g3VFaCkNkKpbMMHVGDJKe4AhAiLehrjkRYv8vQqy3bZfj2S9Bgbyrcn0P8LnPfQ433XQT7rzzTrS0tDgFprW1FYMHD4YQAjNmzMCFF16IKVOmYMqUKbjwwgsxZMgQHH/88a7sqaeeii996UsYPXo0Ro0ahbPPPhtbbrmlW93UF0hkJiGhm+h47nnkb85lEyblQOV/8emIcBOHX56s2VLi+ihTb+ioD2ewk6otR+0F1xWWKGunyIQZ6RnZYVOq64MrSW4m+00AxWlYeOLi7NIQrFhYZz2VoozI8Gu8y4u7wqiP3F4e72HuiS2vPHHg5MoRE0astLt3OrA6zkystEB8B01sTdhPsseREiqtvT1g9hBZ9gSQ+qb98nFvFLQlKzqH+53kNUdLnaokhN+ZXECDloeT6zSOlXG2MEIjBJDRBpIVm8+mAsiq9PeQ5bzRTqWRhtQMyiCaBNBs42joPAAseBn65zOAj38fYuK08p9Df0YvL82++uqrAQB77bVXcPzaa6/FySefDAA455xzsHz5cpx++ulYsGABdtppJ9x///1oaWlx5S+//HJUKhUce+yxWL58Ofbdd19cd911yCifQB9A6Phf2QDDokWL0NraioULFwYBUgkJPcWKR/4P8z/2/9DW4ZPM8ay9AMxEQh+ZC8OsHDIZdgHzOVdm40MFv4IpBu0HKABkCOkGraoy4JNo+FlHNnFFBnXaDdu2m2oCwSouU58nMG4jSNeegAQtY6ctILRbFcYVmZ7BK1KAbY9UKCJSQd4XdiXf9JP1hzYNFfDbVBCB4HCqV1R3WQAw2ehIAPzcJW27UuhgWwzXNsgmb1fgzmTSDX8413ZbDKfAKUDbC5XLZ0YKVbl94fjwsTPXSgFkVTglJhssUWkyrqXKYGlIjDQxM0T9hJTmB1yV5oc12MbHNEuIoeYdFBRckd4gKcwNXnc65NEXozfQG3MGtfH+k2di+LCug3Xr1rOkDSN2+G6a35CUmYSEbqO6+eZApQJ01ILAT4KAdaM4HmFXOml/nk8cBv4RnOsb/Htc2rUF2yAdY6qPsMZodg2PZYnr6ymEXS0lRcnEHllfVDqKoHrAJlWuSIS2F0co3EIgUqS43UyFokndKUyWCLlkgrx91heqk68Mq4eyWBMiK3w5P/VGRNcVK/TKUjQEAYEBLMljTJU21CR+EBMZp6PF96ATe/x4eIlJWreSsxfCb3ZJBtiAX0EBwU2WLVcs6XHptAVQ0cBbT0K3L4NoGlJnYBLWdqQA4ISEbiIbPQotp34CbiJkVIGIinsX4eTktzrw7hMBHSgvwWSGYJ5iKE7U7sXIC7mSwuXBYR0B0Yne48/8CE30xV3C46s16p7ROlQBgrEz1wq7M7k7VlBy6lnr2/ZHuVJTMrK6zEZWMzvJ96kyylvnlNCNE8D6w5UPv+1DcTUUmNpE3xk7jvtgz1GAs3YqII2KTcrIfxfuuy6Q0lDVCwmTpmFW9l+EUlYJstcossEuA6cfe0X4uJkm6Vc3ZcLKj2UMUEP/7sJOx7lfIm002TCkkUhI6AEqW29jP4X0o0yeN5+1zQ4MV8An1BMF8lLvlblyRu0pe1Lmk068YaG/uqQ8e/mSfvLlpMW5PbjhEcJTsU4Tui94oGvgAmITPogAsOsagWC84BUdrQHNlrXThE5JBDlBLMvwG/QTXo0x73ROuwSuwk7+3H1XWCEHfk4E58hm/l74jLLjdIcDa/0YsDoDUkN1aLBl4NotA6dVVKpGlTA2Jy1hyYR/VdxmZ8XOclNf/T30+327mWHj0dW//O68EoBEZhISug3d3o63v3yu++4mWnpZRQFOWaBC2seawC8AlnZLhMxeTw+uEv5PVAa2I7cT84sEIVQe+Flfqp4SU6bKOBUBMYHhxxBcSba5TMiAi4+JwY9Jwepg8SEhKfTkUAZxO8XtI8oJT5l6UixIqhbVnPPMx0pHRKasHVZzcP+tfa4PMdmrH/DcrajGkpuog/7xiY8+l2tv/G7yDMhkiyMydkzymic0eYdC3m7y2eTtygQiK2uJEF55IVcUn4GcayomMv5HpOfc1o3BSFgbkchMQkI3seJPz0C9v8jGgJg/ru7PbukErt3fbRTO+TJ+8teogKnxjuBoQ2psuYwrPQzehcInKnqvr8qwLgT1ukBdps7QXlT8QjdFipDI8AfsWHXgS5nBJnIiAX5cdVA/JzcmaNYTw4ydi/vj60AAHX0JsgjbGBO/X1I9wojoeAnxIvthbSaCyMrXU1XITu/iCU/q+CaW9L+ovXWGuJ++HUe9rI9NdRhZS1nyotoUVLtC3q5Qa89NzI425wG4H7H7bUiEOQ6oUc6iyE+mNPCX26Ce+3U3+9EPEMiQK/lKAJACgBMSuo2ON/7Nvvl09rFLwAnrllPwYFJoP7FR8KnWIeEhlcYpMlyZYHUSISifosgoTltEUD6+jk9+pAKJMhVEmDgIImfQAlKywFFoSHhXmHNkCG8vJyjOWkZohB0oIgVuw2caL94eU2SU0sYeAR+XQ0G+Vk0Q8dDERIKd05QYh86VTPDxfEJKUxA3ZW10G5NGq8K6je7yEYvO6o8JVDdrZG43WCKjAPq3oDVERYE2t1RN5rfstoI3VZiuaEAo4StT9ANgRCZmiAAw61LowSMhNty1p8avgVjFPDNJj3BII5GQ0E1kra3+i/3DGhMZgKsBwq3S4RMYleXqBXc7OAWeHXeuLGgIyQJjXev1ZiVPX+JtFTq7IlYOHKkS/jMvG5/zwbuelBTrj8fNutKs4sJJnPsuuMvOqzNEILKoDODJDm9LR0QmftFohcfdHUPAcCz4PQxDP7SP1xQ2fobVsCrEhpSPAndl/Q5/J2WW12vb/vJYXBC9lG1bayDvsNsmdGjU2hRqK8wrb9eotedQuQ0ApiVUNq4GuQZqyrzTudych9ZAhwp/KLnbQRX6se91GXidsHYhKTMJCd1E02YfcJ8FwlwtodpAE6JXQ7jrpOBuEeZhtDDRgpYseyLBV9iQQgLNFZfiH3gpzORjNrD0if74/BfG6+hg/zvuwvHxH7wFDWGXKWfSb8wIxH0uakKe0HmFxkzuRBbNKCstoIVtR1oFRgBCCCjhlZxc2c0PFaClhs5ZL+lGcMu5y0iYrLkiI5eKcPfNL+GO7Kcx4uQJvilyvfEx4CSrqz0GY2HC/azcarASpqLDjyI6Tr8doHRISslOYBNVZ1dICetmUh0aKtNmI0mpoWoClUHSBAQroNKhoXPb9oocaJbQ0rAiUbX9ULA/QptrRilguQLaVLi8e/mr0O/+C2LMxl1Yu6ajnBj37PoEICkzCQndRnWdSRh2xKEsYVmROHQm3ZPLhD6bDwi+l7nD49VEvrx1XUTBo7xqukayuuxzNiSLyQk+WzuNImKJDSWVo8/wyhElnCM1KfwcTZwlYwKEyot/58G+3q1F/aLYE75SyBAvpuwIb3cMIgY88aGGmT95zIwOsvr6++dToUREhrcb3LcwYSAfn+5MaW4ptDcDbrdtRmC4EsPr92NuLigjMqzqYtvRd9rHSymYoF8NIIeJnbGrmUzsjImhUe1GbVErckNO2hSwogYsyaGXKeg2Bb2kBizLods19LIcenEOLM/NTNWmgCW5eS2sAdefBdW+rItRW8PR0/iYslcCgKTMJCT0COOuuASoVrD41jtMAGTJX/6Y0ATf3eO1/Rpc6IsAKH1q52TGTbb2wmCZM6ziIsJrSQWSrgxbXRW5R4iUCGrFESOjcvCEalKSG8LEyyhXhiWlq9sXH58Dqh9MAbD9MJzCql1sMvfnBDJhlColTAxGGMvDlK3o3ZgoWIPanScFJCRl1mapA8GA9ytQZLR3t9H4cQISu+LitjWLmHb9oM2vSq4rkBTh7Y4D2GMvVeHSUsIjILQO7qprt8MQLJkBeYfZGwowxCZbYc2uSIhqzSzH7tBWPpTACgVdlcaQJTlEkwSqgF5EGf/gXVJvzYW44jjoz98IMWhY0ciEtQpJmUlI6AHk0CGY8L0rsOGcJ7Heb27FpO9fbrICo0hgAEBEj9I0UZsyJW4XNgFy/hOrMm6iEwD4ihleHvQETjEk5jtfcZQJFp9jl4oL6ZUOrmxQnQJMDZFcQdGBrYL3B2x5L3zshe+fT+9v3FVeEcqkd0HF40Ep/yV8HRBARZrtAbhaxMfabTMBgZq2biyQKuPjQ8J8PdqOkXmvZMb9JoV3y8VKWKC4gZWJ+uGJlld+SHDx7ZuDxUR2pqRWYdI7oDz/DY2DV2i0+x7HVVEbZWSUl+buT4rlUblxK+UdCnmbQsfyGtQKDbVCI19Sg16SQy3NoRd2QL/fDiwySoxe0A4srgEdCnpxDbpdA225qXxxzbid2jVEm4ae+yb0FSdBL19cr6NrNmijyVV5JQBIykxCwkqhMm4sKuPGYvDOwNLHnsSCn94M99QbPckKu62BFPQwrW1Keb+TswnZ8M/FZfUQAtJk/0fvTsXQOphInQogKCyB1BB6Qtf+OoTXeteSd5v4IF/Tro/Jobb9Si9HXIRwMT6aTdoUzuKJjO2cBEgr4ONkJl5fPykzEiZGNJMm9kVKGy9qq6JYWaW1daxpuycWpfE3WZObYAgNHeN5g4S9n5kN6DXjZcfeiyehUhMc056MsnNl95grehQVReQm2IxSszEOaym0UPabomP+ej++XYFImK9X2Gy/GkIJsyS7XUHlGiITyFcoKK2RK9OGqubIl+ao1gAoAb08twkiBbQ0hMX1ZXEHLZ8DlirTTiagX30Z+j8OAHY4CHK/EyAmbNi14WsMOvsVdPf6BCApMwkJq4xRnzwBQPFJOo6HcCqG3VAwkzyWw8wIZRMInyx4rAhBsD9o8WQakxIeryEtWZDCZ6OVsjzehFQFcgP5eJVIcWAvMoaUBFI6eL+o79QvyfoXBNWysXT/j1SPwF6+BJqVNe2Gm3sqADVwsmPIjFNo/JWuz5KNgyN6zA53PyL7g+PR93jjTUdQnELE95+K1Rl2nTsm3PfimJfbVCTioV2hq41f4y/UMMqMViaJnrarl/I2jY7lNdSW5KgtV+hYWkO+WKG2RKHj/Q7k77WjfUEHagtrUAs7oBbmUItzq9JoEzujNbA4NwOSwWyDkGtg6XJg9u1Q3zwW6u9PoN/A/3BX8tXXHVhzkJSZhIRVxKAtpmHCJf+FeV8536oPgFY5huy9O9b93qVApWIVEAHtdv6zeThodpcSr1/yQ/z729cAiJ+pBZTSAYkJJ2e/QskeKUyi5Cogl4y2aodRF4Q7F0xS/DPlSXFERrPcOMISNmOHENLHtHAXCVlnYz2MigKnlAcbMEqzM7myAyF0OCmXTbp+ZZhfaRa6cIgECEtchCMxZjm8GYcaBKpaG7WHiBi8mmJInSGkbg8kaic0y6kn9eYcTkj4eHNCTOSA7p0fdV2on5Np199uKCzxGMY9CdQ9+PdYlfFGGFVM5EDeYVxgNSgIKaFyDViyIzKF2jLjhqrmZmm3EgLNFQBVAbRpu7CpAtGhIZbkhrwoAJUMWFSD2yJBAFjeAX3pZ6HO/gHkB3boXscTBgQSmUlIaABGn3YiWg7cB4vuvAdq2XIM3X06hkzfASKedTvBxhd/BRNPOQbzf/4bLP7zc1j6x7+g46137FkRuI6AkNjoShW6vQYgJCe+nCcrGjDLnO055eJg2BSm4dSaeKm4O+8MAShTr2kqpGJcmcmEVUAUkFmXgWATLl+ZxHcg16wekPsHCPoU28qJgrJkTmkJBe0IDakyGYswIpeUiSW2wbcIXWO0lD4oS+XYBO8Dv80buePINQRSNuz8LIUwbjAN6+rRrp5MUF8EKhlcfIr7Dbies5wwiOFZSVckJ/jpat9GSHrK4ciZXbatbWKaGgyBN8u1JYQEOpYoZE1mVZRqN04/2SQgqgKqTUFkElLkUO0KWSagB0lz05bUDMmrivDfWZ5DX34G9P/cCzF8VOed7HPEezqszPUJQCIzCQkNQ9N662LMmZ9apTqGbLoRNjjvTACAam/Hvy/7Ceb+6OeovbsALTttg9bp2+LdO+7D8hdfBrRGNmQwxp14JCaf+zksfPQpvPrNK7Hsby+BsqkFhEZ7FQRsMpJ8ctJ+wvLwk7iGT/rmz5QQCY2SCdVMWEbl8S4cXocjUNzIYNINXXFKe9WG6lN2M8jA1cJcRuROIjcT2DvscbOKSziXk7TsTWu/iMgv3YYjQkScuLghhLeTbA59P14xct8tuaJYGbqeXIqGFAmIiJh0U4QJEN+7+Fig0rHzZfUEhcCURxu7VOtQQA7rhjIHazlMUHBeg1YCUmh0LMshMxNzk1VzZEJDdSigIuFyPHUoyBHVckNq7dCP3Q3xoZNWYkR6EWW+vZ5enwAgkZmEhDUWsqkJk//jM5j8H58Jjq93/hdKy4/5yIEY85EDAQA6z/HckZ/BwvtmuYBRmmRIkXFfoqfseHPIeIl42VM5V1+4a4mTGoDIkF3WS+4Idp1WZoWuiOotQ5ztnlQLrY2LiohFrrw6Y8iMQI6Q2HByRi4obUmEs0kZ1YRcTzVlSQ1VoMFIFILAYD7WeU7Bw/CEx37MnSLDz/lsxER5lDLEz6lXTCYrJzb1Jz3ugouPlbk1uepUUKAcG7bf7BhpZRVADWgb+oLclFM1cz8q2gRnZwLoWJYjq0roHKitqAGyAtWuoKsamXUjZgAgUa5+Cgm882bdPicMPCSNKiFhAEJkGTa744cY+eF9wokoKFTypF2YnEKFw313X2LyYibT3E68bgm0FiY9CDyxUKCUITzYViDPiZQIp3bYptxnpehlJvpcmR2ulRYu630tF5bM2GOAIzFEWqjLnNiAfa6RO0oL1HJTl1JArSbQ3iFdux01at8HENshcGTKEyrhbM/Jfk3Z+ovnlBYukR+VdcuitYjuTT3qF8pBoWpVVGZ4uXrgooJb5m1Jc+ChUv5d1eDHSAF5zRPAvGbK5Dmg2oC8zSbdW6FRW56jtiI38TU2wR5gBqO0zyoHJm1U3/g1BasU/LuKqs4AQyIzCQkDFEIIfODW72GTH12EQdOmFIKCy1wGwSTESApNQDp+R0gyuDqjLBlRmuJTiGwI5NpP2krBHcuVdxOZdnRgC30mUqBBEz+Q5/ZdCXTkti1LaGpaoKYFcqvKkK2CvXj/yV5fv0ZuCU1HLtGeS9SUQIcyx2q5cGTEkBDh3V3wthAZItJFZCjPBWo5I0c5jY0ICZCmBfLRPYgIZ2eIiSn/7ImNiK7pjPRoN3ax+7G8pCntY5kMuNKW1xTyDgVV02avp+W5yTJssw2rDvu7WJIXlBmtNTBkOMTOB9exYk2CaMArAUhkJiFhQENkGcadeBS2feZeTPn5VYAQBVJTBppjYvcRTZqUwE1Fk7OypMS4jCxRgVdF/BJo4YmMVW1qdrL3E753F/Flxrny7zkpMPY6XkdNwRAODXTArFzS7OXGiL0X3U3G7hwSSkt05BIduSEb7TWBWk2gI5eWjJDCJGg/RPedVBb6TCoSqTy5Jpup/15V8qqMcMaH7jyU9Kb01xB85mNhswu5MmUuJ6BOfA2Kv6XOrOjUXlLeKK4mN9siqHYNXaOTgOowioxarqAW1UyAMSFrhvyPn0AMaenEioSBhhQzk5CwlmD04QdC3Hwl/nHc5zpfiULvJY/XlEQuV3AbWGrtJ2qzEsdO6AByG3tCikgF5N4xSdUqGoAWQA4oKexkaerI7FYE5LLx7hqKizFkB8K7lSjYNtdegalZIsMT5wHevSSjYzQGAqTQEKnT0MrG0ijpShCxqAq4LLxSwAZbG1JilnHb1UnaBLmqYLk6bY1h+q20sCu+tGMQWgu3pYO2Bvq4lXAVFYH6WO8e0z0NlvpDFMiI0lGgOOj3oRuiDZCdgR3OL2ljhGB/GwoQUqBjqUJ1qIRaUgOW1kzOmawJlct+BrHuJg2wqhewqll8UwZgh0RmEhIaiIXPvoAXLr0W82c9gXz5CgxZdwI2POUobPjJY5ANau5RXVprzP/1w3jlf3+GZc++BNm2AhWb56U6fChapm+LSTNOxbAPboH3fn4nFvziTqgly9Cy7+4Ye9rHURlTXJY66ogDURnVitp7CwEUAziDSc6UAE1vZgWNctfwpHIUw8JX9NS0d9fkltAIRm4yeMUClLPFuoWqFe0UCpotlfJUI3eESbg4Cw3jDlKaVBgBBW2VFe+WipUYIjlAuaKg/FRrWldmeTcgIHO3dSikUm5ptciEcwFZ/uFigoRgq61s3VpLRxRyZeiVgrDLuLVzpfj75NYx2XujXTtOebP31+fo4b2n++7rFTC80p+z9dBvxB6jJeK+lbB27r7sLOYGEWkie6kyZ5O2u21nwmxW2WSJdDvQXsuRNZsl3qqjgkFX3Yhsow8Um1pTkVYzNQyJzCQkNAhz752NRw/9rJlZLdrffg9/PvM5vHbT3djzoZ9h6ctvYOGzL2DQOuMhpMTCZ19Ax8Kl0LUODFl/HYzdbTsMWW8SAOCFcy/Dvy76IarQqEqbVE6aibd98SK898s3seCXv8HQjSah9oZfubH0j3/Guz/9OTZ9+DZorbH0j39G1jIMLXvsDFGtYvzpJ+HNb/1vpxMNkRRaKeMmY7vSxjwPakdeaFJ07hHtVQ3jWhLOZQP2WWkBnZuJOFcCWmgXHwL4Zc5EZPhqJRc4SmqJNrEx5CLyRMrWhWJsDJEZsO+xSmOS6plvxmXmk/J12C0phLXJLHWyNoImdOHy3JCC4kmMCIiB6a8ukEx3X8AogOMmnkxwu931rlNdTHyBOkPt+C06uFvLz6E6vqhbiJd+83eyxbWrACU0ZCaQt9usSE0SMgOgBGrLFbJttsegL52HbOq07hmQMODQp2Tm6quvxtVXX41XXnkFALD55pvjvPPOw0EHHVQo++lPfxo//OEPcfnll2PGjBm9a2hCQhfQeY6nP3VeQGQ43n38GTy4w1FY9LeXOq9ICGz0qWMx9YyP458X/RBVhKnzAdrY0G87wImMMUaj49/z8NLhJ6HthX+CmEFl3Bhs+NPvYuLZn8aSPz6DRQ880uWTs46cDjQna+baIHeJc6M4qlNcAk0vwJCcqiUDFPuSZeZJXEBCSloaTdmSWRwNaJUPKQsyCAqO2yz2LHxxQlOm1AScwKkiNB7C9ZdcL4opGH70ylWR4rnYZcQoFiMMRDgoSLqeytb5Pe4cdPeNPUXSFOwrFhGZIO4mrrcTIlNY9l+z+zjlJhtw3qaRtykIKdA0fVcM//Z3IEeNWflO9im4lrWy1ycAfRwAvO666+Kiiy7CU089haeeegr77LMPDj/8cMyZMycod8cdd+CJJ57ApEmT+sjShITO8f5fX8DyN+Z1WqYzIuMmVq3x8g9+jieOPtNNshkA2MlNwO4o7fYeqj9ZtT3/kiMyAFB75z3886hTkC9agql3XINN77sBIz60V+m1uu6Xsj+efhKniZfiYjip4O8uKFib+BZa+ZPndtWPNku0a3wFkF31A3iliD5TvIlvOzS9zLVEnyugPKwaGTQy992OPTyd4O+e9Hi654eKlkyH7qHOoKN3VlX36nCuK+8SCt1BPUNojw5tCOqOzsHbQMf5vSrrR1HpMWNH5fMOs9VBrc0EBDftuS9G/OwWtP7khn5MZIAe75Cdds2uiz4diUMPPRQHH3wwpk6diqlTp+Jb3/oWhg0bhj/84Q+uzL///W+cccYZuPHGG1GtlmR7TEhYE6BU12UsCnEC0QsAlr3wii/DJjNKtrZSrnaloFaswHs33w4hBIbvsTOm3v5jbHrXTzB0hy3r2liclMoJTT0Ngk+K5P6h7y7vi2Z5WqybqaakCybObcI6Bb/Kp7OJms+XnLwAnqgQWTHvhsR4ImOIjblOuzoktHvF9027Gbze+JSMGN/Ekek+pLo5+2XX97yMPJSPSDcRkdiAkPBiOlSq+Dml65MaIFZkisHErj4N6ByQ62+Ekddej5E/+gmadty5PGFeP4IQYpVfCQZrTMxMnue49dZbsXTpUkyfPh0AoJTCCSecgC9/+cvYfPPNu1VPW1sb2tra3PdFixatFnsTEjhat/4ABk0YgxXz3um6MMIn/LJz8ec4qJOIDT/XLWQZ2l99IzjUuv8eaN1/D7S99ib+fsSpWP7cS35VEfyeTW7CJtuF74kQdl8hs6ERMqHRof2zEp/sRPDdxr7Y2BIXUKz95E6TmYrcWpxA2eiOUmIoWWmuugCGxAh4l5Bk/bbaACq2blr15O8bkRy+MzfvHYc/JoXdW8rGB5nrYgeWndyF3zfLb/YZlqvfJqIynZyt5yKyxJlcWmUqTL34Hjrm1UMRHIs/ezNDdYaOiMGDMf6+eyCHDOm0LwlrJ/pco3r22WcxbNgwNDc34zOf+Qxuv/12bLbZZgCAiy++GJVKBZ///Oe7Xd/MmTPR2trqXpMnT15dpickOMhKBR/8/n/VZxbsuIjey0DBqs59wUgEnyDqyfZ1UcsxaNONS081rzcJWz19DzZ74Casf9FXMe6koyCyzLWpuNvEuVG03+1aaBvfQ+4bb1g94habXgx49ZOZD5blqoyhF7SLN5WO3UUV+I2VSZHJYFLnZ9KWFdq68cz5itCoSO3KSluelJyK669x/QlouA2Y6pALaa+hscqk/y7sTtzCHbf1S68OmYHWAbktjlsZHS7Ckb56RCb67t1X/gJK7+IVF09YyjIMk0uwe7/ZcCxHfuubA5DIlGmzPX0lAGuAMrPpppvimWeewfvvv49f/epXOOmkkzB79mwsX74c3/nOd/CnP/2pR1LaV7/6VZx11lnu+6JFixKhSegVrHP4ftj3iV/ghUt+jLcfeQqqrR3N40djw1OPxtKX38C/vn9LUL6zXzXFlBCRoMJKmZwlNBmQOlOWY6SALEPW2oJRHz2ibhEhBIbvviOG776j6dPZn8G/L/8x3r/3YeSLlphsZsQIQDtx+wDdTJtkdZkSyDSQr6ihVlPuzy6FR3NTiYRoq9C4h3P2wU/l9TUtyoOSsRLxZ6/OWDXJunS0MgTI/K3Rds8fE/5qVlhZt4/2u3qbnDZelaF2ApeQhts8UzISQmqXFACkz03jVS5DbEC9t+MiHPkx5/xIdKbOFMdKxB9sRfGSa/e7cmKJr4sOGRVN+ABhHf4elSW90Iz88Ka173exJ1aNam3FsI8dW6d//Rgpz0zDIHT9zTz6BPvttx823nhjTJs2DWeddRak9Dcrz3NIKTF58mS3AqorLFq0CK2trVi4cCGGDx++mqxOSOgcqr0dsw88Fe/M+mPg9gDqT0EyyzBiyCDoxUtQybSLoZBSI7OrmdwkxyY4OXQIJv7Xl6GXLce8i74LtWw5AGDQZlOxwU+uwODNN11NvSxCtbfjN2N2Rvvipcjgd6Sm+JQKNKoCpj+0QitSIozbyW++aOa+0NFCf8VoDygF4eJz+PMrqSrkqhGCCCG5eZj6BatA0bVCO8VBmi2smTuKfWbB2YbchGqMb82QKe5U4Zwhk96tRERI2IKx27En6M4qI6N+keLm24L7HJ0TfoyD+urUT4TQfC4qTTGGz/gCWs85u87ZxqI35gzXxt9nYnjLoJWvZ/EKtH7gq2l+wxqgzMTQWqOtrQ0nnHAC9ttvv+DcgQceiBNOOAGf+MQn+si6hISVg2xqwp4PXItZe52ABb//EwD7ZG7PlxGabX7wXxi/1054aqdjoBYsAOwkrJSZqKUCUM2w3tfPxLBtNoPu6EB13BgM2XpzyMHmD+SY0z6O5c8+j6y1BYOmTe31gEHZ1IT1PnEk/vm/16MCP1llAKo2DiUDuWmsGwaGABBp0AB0bp78zRO/SYZHE7lSlDkYLkmcCdI1yfMAP84U30KuMWkVGI7MqkxGbdHOnUaqi9aaKTPmGk5EJB2Ar5sme6/weHLjM/EbNUYrkwVYCIpU8WqQu55rF52qct2/3yGRYS2QW5N9dhYECgz1GfX9imBjwa6Ni3KCJ1qHo+X0z2BgglPtlb0+AehjMnPuuefioIMOwuTJk7F48WLccsstmDVrFu677z6MHj0ao0ePDspXq1VMmDABm27ae0+WCQmNgqxUsPfsGzBr9/+H9x7/M4Dwjzb/vuX/nIMNTz0GADD9pfvx5jW/xLt3/Q4d896ChEZ19Ai07rkjJn7qeAzaaL26bWbDhmLY9O1XT4e6iU1mnIRXv3czmmo11KwS0QyNzM56WaZRtevPhY0/MZl0lSUd0gTlag1RsQnoFNxkrx1hMBmAeV4cR17ACYl2SpYQJg6GqzGAXzUmBRxxknbeMcetS0oBEMZe714x52Jlg887nOSYwGJjBwBoqZ2ao3ToVpLsum65Fk2N6GrSC9QazUOpdenV2lEz744Kg307b9ErOrrUQv65aeedIYcN69T+fouVWpYYXZ8AoI/JzFtvvYUTTjgBc+fORWtrK7baaivcd9992H///fvSrISE1QaRZdjjoZ/ib+dehn9ddSNUe0cQDTJ43QnY4uKzMfn4Q9011ZGtWP/sU7H+2af2ic2rikETxqJ1TCvyt94xT/KAz2gsNCqZRsWRGaDJbNjk1RFLZGjizE1K3vDp3ioJfG7QWnuXnvDTc+DegL9e8Idk25yAUWros6D4Geua8ivKPBug1UmdzVMhGeGroQypoe/8s3OFMddO16gfRVB2RkfuOxoQM/zx0mnh1JnS+kvIlgy+h6qVKhKAPQAALw5JREFUq1X4e6kVICopJUdC1+hTMnPNNdf0qHx342QSEtZkZIOasfVlX8UWM7+EtncXmD/kUkIIgeaxoyDkwArqe+snt0K99Q4qAi4WJhMaWWZIQEUa94pRHTQqEhBCIRfCuXWEkEaloCBdu3+R1rCbP3plxWwvIOxyb2ODO25tktKufmLEIFAHogmWyAkFX1Och8lAbD7T8nJ3BdkTjUecJ8iTKUuOnPLDFZCQGEjWN7KVB4qX55kRwTdezq0SK7nWjY2twilY1JZ1hZl6fCAw7ysr7hQxOsaPQwBCCh9bJDXUy/+MOzNwIARWLQA4KTOENS5mJiFhbUHW3IQhk8b3tRmrHe/c9luXsbgqAAhyK4Urf2hZMqBRrQAy155UaOV3bnbBqRpamAR72hIlrd2OQsZVBbiYE8BPpLR8nNrWmq2XEn7pd6CyuPPM9UNLskH7MVmbrV08WDcgAYwwmGN2qbYwtvvVUGHbsfpENjoXD8AoC4K4nnruJloqzV1EHGV5YeKa+PdYkaHuFtQluoj1R2ahfUII5C+9gOV334XBhx5WNK7fo4zu9vT6BGANyDOTkJAwsKGVculXsswvOQaKf4pJQckkkGVAJQMqmYmjqVZgVzvZmJLIxePUF+EDe2Xw3asf3nXjrwnVEs1e5hjVmfG6omspBkaA8taUjAeKnhkpEbQjC/bYuguKUflA1nNF8cDeOEdRV+ta+cquzg3wn32sj61BhH1zfRRFIsOxpIcqfsLah0RmEhISVitGH7afVw8Qxk3QLhCUTE1p8zROSg0ljqtUtEtOl0VExkyQOiQo0ME5gCWhQ0hagHhyjaJG3ASsg3gbSmgXTNSM6HDFwVvlP1O/eTukwjjRIlKQqBziY1FZXo4Qu8AAUmUMm+BJGOslzuO2F1E87u3xahiNi8jseEkBKevVaZC/+lqn5/stYla3Mq8EAInMJCQkrGZMPO2jGLrVphCSxbYI766gLQ1os8hc2RVDlijIzLhfJC3fZiTHTeAIyYiQngwJCVSkdtd5JYYpBShRifg5oV2QMA8cFrycJU1UkaUrJfON39m7VBkRvGTX81Xscoo/+2MhQykjN1SKbAuIjY6M6wKStRsoV9KoMELaQtIQm85mo8qUKd1ut18hbTTZMKSRSEhIWK3Ihg3FVrNvxgb/fRbk2LHRhGt2x85zgVou0CEqUNXB6IBdwSK8UlOqPrj/+e9OfQEjPozIkLuo7AG3SIy8UsPJAY/10Shez8uHsAc1Iw32DBE6pRiRQBikW091KbQi6sS/IKybFBl+ntupUXbO2xP1yrYdqV3wy9rDedgQmqxiPmfV+tPRsE9/uu65/g3RgFcCkMhMQkJCL6DSMgyTv/Jp7PTG41j/0q9D2KR+hhgIiOZmTDh3BrZ+70Vs/tbfsfEbL2LwwQcVXCp8giQExAQ8JkPbbMk81kYUVB1fUVkbOiI3xTgYqsvng9FdEBq4Jc1c/VA6JBp8D6M4qDYMUC4HERq/t5Jw13JSQ+finnURQlPadpH4RaSR+fikFBCZf8mqQDZYFubn6tZbYtC++3ZhTcLajrSaKSEhoVcx4YyTMfYTx2Lpn+egY/47qI4bjaFbTUM2vMWVEVmG0T/8Pt477VNYft997riffG25aOJzSgng42psAjqjoGi/ztjG57hrbb08Q6+gz7ZVUoLKJ3L/rBy7kDj8iiDhWI3ZrkGjpk3QM5RZWp5RBmQdPnlS+50F7cZkKHwX0VhSpmMaCdYGaDwQLP9GUJoRGXi3G1fRTICvcfsJm0DHBf9an1RWkZBDBbSCWWEmgeqGG9TvZH/Hqsa9pJgZh0RmEhISeh3Z0CEYvtsOnZYRQmDUj36Id085BSseeBBCMTIC2t4gXEbNc824wFyY+BlaKm0KUyva1gWX8RdgE7ErG22EyON+dNi2Yk3U5RrEqYQhFsqyBCk0lDJ9EtJwLuEvAWw7LltwiWIjRJHIaOZOMudMe0X7hM3rIwIbS7ugw7gYIAzuDlQ165bTVsISmR9MWsVExFIIYWJoyJYB7T+gfd1X5foEIJGZhISEBkNrjbY//wVtz/8daO9A05SNMWjnHSEqPf9zI4TA6B/9CIsvvwKLfvAD6CUr/FO/kEFQaplK4ZQV4bcocIII/LVUltxEPHEKERsp2BUlk7arQ3dCYix4TG2uTD+1BpRTQzSktgqKJWR254QwjoZVxhUc70Iy17t2tQ/85VsSxMQnZDHlvSn0W/Djlgza4CVSYiQF/NqBMtd17iurbLBh/fMJCRaJzCQkJDQMHa+8hjdP+CRqL/wdgJ/gsvHjMP7HV2PQjp2rMWUQlQqGf/lstHzh81hy+5145+yvQOa5VUBoMg5JSZD5V8bxIZ3BX0gKTzhpl13d/ViTWEXiXzSAWi5QzbRb4UUJ/2jHKWnZTK78xpM6qj8PiEl0ThGRKdoU5KCBV6DcYNgEfsVtCrx7qSxAmQK4ERAZQDgZR7v2Y2IjADTtuU+d0RwASG6mhiFpVAkJCQ2BznO8+dET0fHiiwDCv7PqrfmYd/hReG29jfD6Zlvhvf/8BvL583tUv2hqQstHj8F6f3oC48//Ciqtw1gSuVB9AKw7xX53+WzAJuhCKK928THcVUUkQiBkB4Jfh4ig8FpjewATI2NrMcG/wtmVK0DlYEvWpVmubuvIbXla/cTPKXYu17TM3WQjzgtjgIAEhqaHq5z4l1I6x11KIlJlpBd6KEZGyHget4QnGsDqHnujsvW2JS0OEBQi21filQAgkZmEhIQGYfkjv0fHv16G0KpwjvYc0h01qAXvY/E112LuPgeg1kNCAwDZ2LEYeebpmPKXRzHm9E+gaVgVRWJilQY7iRNZUIqtGiqpm6/C4auiSHXgQb6IWg3Un6h+VdYYu8a7hCwZcURGBEu2lRLIlbD9EK4/yhKgXJnyWlESPEuOKG4GoY3cjoJt4ciUliubT/1YCR8HI9kF8AqMV2KsFsQqq2y9LYZf8b3O3VAJCRaJzCQkJDQEHa++BrAEaYQyxUIrIH/3Pby5136ozZ23Uu1lI1oxceZ52Gr+3zHpnDAPiSMFpFIo48Ixk7mZ4KG5XXwJMcv0GyV8K9vmwLcIV79z1+jyFyzRIKKieVmyX8ERF2OzcH3KlcnPYwiNydGjYBUY+5lIjCFyIsr22xlBKFFrStxHpn9+7ygaH872nBITEBsRXS+cK4pelc23QOs1N0I0NXdi50CAbMArAUgjkZCQ0CBUp2wMck/ECdUCxYIrAgvex9wDD0b+9tur1PbkC76MiWedxo6YCbOmgFxJdORm00kiATyXCwdfoeP2XQIpMuG+TpItRQYF1Wq4gFtyH5WpMkXVQwTEQ1vioq3NNUtccgXkOVBTrD9KOFdSTQnnXsqVNATOkrk8ZypP3G+UUpii3SXKTOEYbKCvIzIIl3S7xolY0XhpaK0hp3wArTf8CmLQoLp2DBysqospqVaERGYSEhIagsG77IymzaZBC+me4GPyUgb19juY++EjoJYtX6X217vwK5hy69UYtqOPsVB2NZCZ9A0RUNwua5tzG1mCUthAEozYMELDA4K9aync56hzcPeNmdiJxGirupCLiJQaSnBXy00sjVImjqamvBJFJEbDKzpc/Sm3ov7x0n4UiI3tvfSKTazouPqUdiSGxgtCINt0M4y4+XaIarXTUUtIiJHITELCAEK+eAmW/O0FLH7yL1j85F+x9G8vIF+6rFfaFkJg0s9/iuaddnAp+QHw1dOsbPg9f/11LL3jzlW2YdSh+2PzR27FFo/fAdHUBAAub0utJm2+FRHkXXE2oU4MCFMYiNDEYLzIxaqoUldOV0/Tngj5jMDetUQKDL20NkpMLZferaZ8eR93Y/tdx71U7He0cWeU2dd1BdEu2K4+4YswNxKNj8qLQUtN+x+MEdf/AqJ5oLuWOEQDXt3HI488gkMPPRSTJk2CEAJ33HFHcF5rjfPPPx+TJk3C4MGDsddee2HOnDlBmba2Npx55pkYM2YMhg4disMOOwxvvPFGTzvecCQyk5AwAKA6OvDyOTPxxMQd8NftDsGzux2NZ3c7Cn/Z7hD8ceIOeO0bl0Hn+Wq3ozJhPCbfdSvW+8NsjLrgPxEqDwal8ZxSou3Jpxpmx7Btt8DmD/8colIJgmuJDNRTTPjSaWcvvKus7HyZy6gseLY48RR3qg5zwISkJlylJKzqYtUabUibi7Ox5fPckBuqi5OuMlBfw02s+fYMutA7f9xXQquVqE7jQgrVMK0AVdPIawpimx0w/LIrIYYM7cS6AYhe3mhy6dKl2HrrrXHllVeWnr/kkktw2WWX4corr8STTz6JCRMmYP/998fixYtdmRkzZuD222/HLbfcgkcffRRLlizBIYccgrwX/r50hkRmEhIGAF758kzM/c5PgI5a4Zxua8cbF12N1y/4Tq/Z07Txhmg57BDTfpeuFgBCQLa2NtSGYdttiS1+d1OQrK+rFTzuHHxoRxCYaz9TcC0zn8UFFfdv8rVy1wqPHeFl4MtERIh2Fie7lC6Jt7HExtcRLgVHHXXGBEFrFvSsQYHRpo8+eSBRNhkQFk9iNBtcHTbhZx02sPlTf0THM3+uY9cABpcDV+rVs+YOOugg/Pd//zeOPPLIwjmtNa644gp87Wtfw5FHHoktttgCP/3pT7Fs2TLcdNNNAICFCxfimmuuwbe//W3st99+2HbbbXHDDTfg2WefxYMPPtiAAVl5JDKTkNDP0fHe+3jrxzd3We7N/72u11xOAFCZNBGDdtnZPaKXLQl2yHMMO+aohtswfPoHseWsmyAqmWkbgFdO6lAOO8fSBE2rjYLg2UhJoTw2QJnyFBIUaiNs37sNiuNT4tsBAjcW39aB96N+PaG9Igp2JhIjhd9nyW+kyco70sP77VcuBa3yIGAeU2RZ4pIfXlVqX0LXWLRoUfBqa2vrcR0vv/wy5s2bhwMOOMAda25uxp577onHHnsMAPD000+jo6MjKDNp0iRsscUWrkxfIZGZhIR+jhUvvgxdosjEUMuWo+3Vf/eCRR7j/vdSZJMmBsoGgQsTI88/D02bb7ZabGjd+YPY+nfXAzKzvCJ0iTh74MkLEBEZJdyL4lSUEoU+uWpLdtcuQ/kqr57EQtSLy/HvXQci+32oiKBIYXcbt8vQM+mPE5GRjPT4V9GeoGkBL1Cxl9ZA7ck/drPPAwmNiZmZPHkyWltb3WvmzJk9tmTePJMiYfz48cHx8ePHu3Pz5s1DU1MTRo4cWbdMXyFtZ5CQ0M9RnTiuewWlRHXc6NVrTITqepOx3mOzsPTue7Bs9iOovTkXgIaUEnJQE5q22grDjjkK1Y02XK12tO62Pba6/zo8e8BJgM59wGusZgAQoLgabdxfQtuAYTOpa7t6KJPGt8TzyjjNRwhotzJKuOy7oTxhj5QQDdu0g4A5YBQjk5uFk64iYjUnIlelBAx2abq2+1h5l5NRW2x/7GouKaM6OTGM7Hffi/kUnT1q+Yo6JwcwViLupXA9gNdffx3Dhw93h5tXIYg6JqRu49FO0J0yqxuJzCQk9HMMWn8djDhgd7z/4O9DfweHlBh95IdQHTOqd40DIAcPQsuxR6Ll2KKfvjcxcu+dseW9P8HfDj4FQBSsyKQavsQaWiDXNNEzUmJVG0FuIfZ3nDa0JLJErph4JVHXsUTefSMBQGgo2I0kS8uXsDPEKpF2RZ07CRR+YXaoluy7749XY5xrSbN5OJrHgnmNxxKJksKEer/dhC4xfPjwgMysDCZMmADAqC8TJ050x+fPn+/UmgkTJqC9vR0LFiwI1Jn58+djl112WaX2VxXJzZSQMACwyTX/g6Hb1HfTtEz/IDa+8oJetGjNxMj9dsXm9/wEmmbhknm1GCPjs/DStgjG9RQGAbuJHj6mRDLC0BPwfDfSkgxXH8WwSB6sa9opwhMinhNHxO/CkBbPTbQ/JoBMonR7BwBsnyXRpXesc/7Wt0/2fYPGuJkagQ033BATJkzAAw884I61t7dj9uzZjqhst912qFarQZm5c+fib3/7W5+TmaTMJCQMADSNG42tHrsNix97Gose/xPa55o9j5rXnYDhu2yHYTtu0+cy8JqCUfvtig/c+WO8eMQpwaTs4fdx0hA206/RKWinalPKKCG0QMcoKOZ7JgR0DkB42YbrJt1Z4cXJEaAhhYCykckCNgDYKigaxrB4DVHML1x/uQuLCBdjODwYWGurzvDypDgFj8Pe1VA3Oa22YxIPugaQZV0PykBDWWKjnl7fAyxZsgT/+Mc/3PeXX34ZzzzzDEaNGoX11lsPM2bMwIUXXogpU6ZgypQpuPDCCzFkyBAcf/zxAIDW1laceuqp+NKXvoTRo0dj1KhROPvss7Hllltiv/32W/l+NACJzCQkDBAIITB81+0xfNft+9SO9jfexHs33Yb2f8/D4C2nYdRHD0fWMqxPbYox8oA9MOXmq/Cv4z+HgALYj8adZCYKpYWNWbFFowmEKyPkEjLFdFDGxh53Cb46iIhMZuuneBVflTYxPtqsuDZt+0bc0unI1VQgOPAruKC1y3JMRMbXZa919QofLxFlQ+Z7MPHy4KufpDkmJCCqORZ9/HDT70oFcr0NUN3vYFR22QtibSQ6qwFPPfUU9t57b/f9rLPOAgCcdNJJuO6663DOOedg+fLlOP3007FgwQLstNNOuP/++9HS0uKuufzyy1GpVHDsscdi+fLl2HfffXHdddch6+N7JLTuzjNC/8WiRYvQ2tqKhQsXrrJPMSEhoXMsvOd3ePnjn4NWOQAB5DmyMaMw9YFfYNAmG/a1eQUs+PWDeOX4zxgZRvglznFwrXEbCWQS4Au842BY/seU3FOwAcU5uahKllETBCMtUmi3rQKpNJqWTwnaONK3xVdDsYVivk6nuHgXEuWKkZLlkwlcVwiWZFM9ZKuQlsxIn+HXlWVkxnn1hDkuhIDIrA2ZYW2yQpmChQu+FgCy7adjyGU/6rXMwL0xZ7g2Xv8phg8fsgr1LEPr5JPS/IYUM5OQkNAg5EuW4pVTZ0DXanAbIQHI33kPL+x5BNr+9WofW1jEyEP2w4Y3XBW4RLgryAXtRsG7AhqVTJt9i6NEc0FEA3PddAc+1oYtebZWUf1EdNx3Wy6OaaFl1HQtdxMVvDxEjHS0hL5kWTc7hfhZuEBkmLtJWAOJyAgfaQxZIfeUkZdkRUBmACSQP/042m/+SfcGsL8hXNe+cq8EAInMJCQkNAiL7nsIaskyu1wZwStfuATPTz8Eba+/2ddmFjDisAPNLs+gzQ9Z6n0LT3AMcfEBsSYQN8vsZ3hCUkwmpwuTfwy+pNmKGI7ACKeueEKTCdQhN3HbIZ9yLqWof3QO8EoPJzcF83V8HSKfFesPzb1W5XLuJUt8pI1Aplgct2pZAO2/urHTcUtISGQmISGhIcgXLQFQP7hVLV2G53c4EG2v927ivu4gzIki/IQOps4EWXEpmZxXYvxKo05b6sQGysLL90Ly6oywbUrBiI11e/FjTsWBV4cClQjlNvol6Z7AuHfdCaEp70wgHLj4GQlIaUgMLJER1u0EYfIayopRZ2DJjKwAWPhuNxrth+jlvZkGMtJIJCQkNATDdtup7jma2PTSZfj7roei/bU1i9DwyZ8QKBLwYgOpC6TOSHZtEE8S1NQ9G4IdqNkSaCHgsvDyJdNEfISwOWKoHJg6E7RRVGw8cbEOLbb8nEiM0nw8RHCO21/eL8FiZaijhtS4lVOZcOQGEpCZhMyki6cp29xyYEA04JUAJDKTkJDQIAyauhFGHl+eGC9wOb23EM/vdija33q7ly2sD1IOfGiv/+4XV9uyEckgV0hQn3uPVw4F2kdQJ7mYqDypLLHbiMfGGPKivVrklljHm0Xad1tHcVsJ0yqRFneOWckJTxm3CJIH8nf7kk6J0ZCMvAhpFRmm1siKfVlSY5dzDTykmJmGIZGZhISEhmG9Ky/s1h/Y/L2FeGGXQ1B7d0EvWNU1xCCzUiZQZmiS16VzdyHzr6sLAU0JXEdENIJzkVoSkhFT3AX5MiOdSsPfye1Eq6xEXG99hATH7EFVl7R0BksMKS7GKS5kn3UrSWkDga1bSWQCWUVCZn5Vk5C0yqmLNhPWeiQyk5CQ0DDIahWtH9q7W2U73noH86++bvUa1E1UJplU7mCqBc3ZCn5lk1sK7Y6xF+jlyxXiVMh9FKgmxYfsghIk4NUg04Jbug2QKuMJDN8QMoy78baUchLNFSqn5QAIl5Pza8NEefwz9de+02omSd+tCpORAmMJDxsI+iwrA3Wqkg14JQBpJBISEhqMSRecAzQ1davse7fcsXqN6SbyN82Ov4VlyDx3izbp6JQ2u2jXcp+TJleW0ChA2SQ1MVkQMBmCKfYlk2Z5NychhZU/8G4hruqE5diycOHzxUjJXGLsms5AbjbnJerONSVSjYuTEf6zkDC5ZTJpFBn7oqXYPC9Noa5sgE5Vyc3UMAzQX0hCQkJfYfC0Kdj0wZ8Dla4TjNcWLOwFi7qGamsPvscxJRQvoi2RoX2acmWIjN/HiSkz2viIeEBvVpoMj2JaAKITzhFVQmiCIGFE78ITI4CO6yCANg7+LesvlaGgZ6c08es1wsU0PDGe9Y15Vcaes8eMi8nHxZi4mfoTsxi2dieES+gaicwkJCQ0HEM/uBWm/u4XQLVzQiMHDeolizqHqGSOMJQtSXbBy8o4eZQlMbkSUIqIjXn3pAYghxGpMVLaTRuldxFxUuPsKbORbUngCEv8oE7lorL1HuRJgym4wwoKkA7LuDqFC+Kl5dWCsSl3ziXM8xV4F5MhNa6OCBpAdtDRJSMyEJDcTI1CGomEhITVgmHbbY2p9/8c6MRFMHy/PXrRovoYspPZz0qzTL88RobcS1oL5DlQU0RerJspZ0TGnjN1mOudG8nGuphkd4x0BEqK/15AREqIwNCKJb45Jc8iDEdQgsgelEXOSBEf8zE7UsJfI2D3ZQptc64lSoViL5YZJzzCxsj4vZ3KVoUBGmJYC7JjT60zIP0cyc3UMCQyk5CQsNowbIdtMOWeG4FKtAmdEBBNTRg/47S+MSzCuHPOhNK053Xk8mF7KilNagztvWRepNYoS3CAcO8kwKsbJn5EO3JASojgLfPr2IGSud7V4UmNJxXc3cQRf6f2uFrkgo2ZG4ufM59JgaG2LUEBZflljcWqEIuRIUIjKyZJngsSzgSy//fZ5GZK6BKJzCQkJKxWtOy6IzZ94BcYvM0W7tigzaZiyt0/w+BpU/rQMo+hu+6EIbvsALBEZDraj8klj9OAsnExTqGx5MblqSEiw1ULeCKQOfUETlGBb9kpILKUQITH+MqpWLHh7iEB3ruia6nogio7F7rC6m3P4N1Fokh8bDA1AEh7TCswhcbG0lQFZFMV2b6HlbYxIMB/FCv16usOrDnoOkIvISEhYRUxdIdtMO3RO9E+9y1Aa1Qnji+Nj+hLNG2wHvDIkwA8qTDPe9oRG60BJQChzfLsDBpaGEXGbG1gCQ2bZ4LMwfAExG9FYN1ZQQwNS7ZXMkw8IJi/U3EdtGdYVVyO1xV/5kSGSFl8TmubxReGjMiKdRlpAa00tCTiYsoFxCcXULl2riedezXJ7ZgtM8gvXQwxYnRxAAYMVjXuJekRhDQSCQkJvYamiePRNGnCGkdkAGDYzh8MXD51TbQKDWDVGJebJUy6r93/DErVFfhJXAjmdtLF9uvtjeRUmDrt8HNlQgqvtxAtU4cAufNKQ+XmQq3sRppUn4I9Z47r3CgvWmtopVFblvtxAqBqgKpp6OogyI9+Btk190PucVB5wwkJERKZSUhISAAw8sgPIxs2xMZ6+E0bY8RxLQEZCNhM524A52Gw5In2eCr7o6xLyE1ZhbF6wo/HJKcssZ9SrC+snHbnREB63N5NuYbOYYmeNm6jXFtCY5QXrYA89743PXQ4sP8xkNvvBmQZMGgwxIHHoHrtA8hO+DzE2IlddHgAIAUANwzJzZSQkJAAoNLagim3XYOXjv0UOt5bHPEQct74z7QmyLuknP7hy7PDdQkJ4zwFNcb+j9w0GmZxWOdbCpC7ShiFx1orhQlKjtWh2Bht/WImJkaw+pjLifdUA3LSJIy96UZUp2zSmWEJBXDdbGWvTwASmUlISEhwaNltR2zzzz/g/Xt+h3fvuB9v3XJPaVZgQwQoYMV8JhLgCY5xR8nouvKtDsK4lrAtAaU1JDq7Ho44+dgZDU2ExqpMEsK5yCrrTMDQ/faByCREtQpdqwFaQ1QyU1FeMypVNQM6akZBqlYgtILOc8gsgxzRiuZtt8GgvfeC6EaSxIQItH59Va5PAJDITEJCQkIAOXgQRh31YVQmTMBbt9wTnAuITMkxDQ1BpAKkbth6ZWfuIhG4qyi2BDCBxoaLGPcXMkBWK149cTUYJiOsHUoBAhIC2ioyEiLL0DRxAkZ84uNoPeUEyObmBoxYQkLfI5GZhISEhBK07LQ1qhPGon3eO2ydtWYKi3ZhMXRMKZNSx+24LYBcmW0MlHZrnQJCI90KHnuNReC40gI5gKF77YF1fvxdZCNHrPb+J/QGkpupUUhkJiEhIaEEolLB1GsuxpzDT4PuUODBwNz9kwWuHwGlKE+MjTkRQE0BEBpjP/H/MHT6dkCtBtncBC0EdFsbICTkoGazR1SeQzQ3AUJAt7VDZBmylqFo/sBUNG28Ya+PQ8JqRHIzNQyJzCQkJCTUwcgDdsd2f7kXb171M7z/8BPoeG8hQKG/wospUgoIrZzrh5ZYSwFkw1swdMdtMfbTJ2DItlv2aX8SEgYqEplJSEhI6ASDp26Ijb/zjb42I2FAIrmZGoVEZhISEhISEvoCq5orJuWZcUgOt4SEhISEhIR+jaTMJCQkJCQk9AVSAHDDkMhMQkJCQkJCnyDFzDQKidYlJCQkJCQk9GskZSYhISEhIaEvkAKAG4ZEZhISEhISEvoEEqvmIEnOFUIiMwkJCQkJCX0BgVVUZhpmSb9HonUJCQkJCQkJ/RpJmUlISEhISOgTJDdTo5DITEJCQkJCQl8gBQA3DAOezGi7ne2iRYv62JKEhISEhDUdNFfQ3LF621rap9cPJAx4MrN48WIAwOTJk/vYkoSEhISE/oLFixejtbV1tdTd1NSECRMmYPLkD69yXRMmTEBTU1MDrOrfELo36GcfQimFN998Ey0tLRC9LMktWrQIkydPxuuvv47hw4f3attrOtLYlCONS32ksSlHGpf6WJmx0Vpj8eLFmDRpEqRcfTEpK1asQHt7+yrX09TUhEGDBjXAov6NAa/MSCmx7rrr9qkNw4cPT39k6iCNTTnSuNRHGptypHGpj56OzepSZDgGDRqUSEgDkUKhExISEhISEvo1EplJSEhISEhI6NdIZGY1orm5Gd/4xjfQ3Nzc16ascUhjU440LvWRxqYcaVzqI43N2oMBHwCckJCQkJCQMLCRlJmEhISEhISEfo1EZhISEhISEhL6NRKZSUhISEhISOjXSGQmISEhISEhoV8jkZkG4Vvf+hZ22WUXDBkyBCNGjCic/8tf/oLjjjsOkydPxuDBgzFt2jR85zvfqVvfP/7xD7S0tJTW1Z/QiHGZNWsWDj/8cEycOBFDhw7FNttsgxtvvLGXerD60KjfzLPPPos999wTgwcPxjrrrIMLLrigV/aVWV3oalwA4Atf+AK22247NDc3Y5tttikt89vf/hY777wzWlpaMHbsWBx11FF4+eWXV5/hvYBGjY3WGpdeeimmTp2K5uZmTJ48GRdeeOHqM3w1o1HjQhgof3/XJiQy0yC0t7fjmGOOwWc/+9nS808//TTGjh2LG264AXPmzMHXvvY1fPWrX8WVV15ZKNvR0YHjjjsOu+++++o2e7WjEePy2GOPYauttsKvfvUr/PWvf8Upp5yCE088EXfffXdvdWO1oBFjs2jRIuy///6YNGkSnnzySXz3u9/FpZdeissuu6y3utFwdDUugJmMTznlFHz0ox8tPf+vf/0Lhx9+OPbZZx8888wz+O1vf4t33nkHRx555Ooyu1fQiLEBzMT+4x//GJdeein+/ve/4+6778aOO+64OkzuFTRqXICB9fd3rYJOaCiuvfZa3dra2q2yp59+ut57770Lx8855xz98Y9/vEd1reloxLhwHHzwwfoTn/hEAyzre6zK2Hzve9/Tra2tesWKFe7YzJkz9aRJk7RSqtGm9iq6My7f+MY39NZbb104fuutt+pKpaLzPHfH7rrrLi2E0O3t7Q22tPexKmPz3HPP6Uqlov/+97+vHuP6EKsyLoSB+Pd3bUBSZvoQCxcuxKhRo4JjDz30EG699VZcddVVfWRV36NsXFamzEBE3O/HH38ce+65Z5AU7MADD8Sbb76JV155pQ8sXDOw/fbbI8syXHvttcjzHAsXLsT111+PAw44ANVqta/N61Pcfffd2GijjfDrX/8aG264ITbYYAN88pOfxHvvvdfXpvU50t/f/otEZvoIjz/+OH7xi1/g05/+tDv27rvv4uSTT8Z111231m4YVzYuMX75y1/iySefxCc+8YletKzvUTY28+bNw/jx44Ny9H3evHm9at+ahA022AD3338/zj33XDQ3N2PEiBF44403cMstt/S1aX2Of/3rX3j11Vdx66234mc/+xmuu+46PP300zj66KP72rQ+Rfr727+RyEwnOP/88yGE6PT11FNP9bjeOXPm4PDDD8d5552H/fff3x0/7bTTcPzxx2OPPfZoZDcajt4eF45Zs2bh5JNPxo9+9CNsvvnmq9qVhqMvxkYIEXzXNvg3Pt6XWF3jUg/z5s3DJz/5SZx00kl48sknMXv2bDQ1NeHoo49e44Kje3tslFJoa2vDz372M+y+++7Ya6+9cM011+Dhhx/GCy+80LB2VhW9PS795e9vQjkqfW3AmowzzjgDH/vYxzots8EGG/Sozueeew777LMPTjvtNHz9618Pzj300EO46667cOmllwIwk5JSCpVKBT/84Q9xyimn9Kit1YXeHhfC7Nmzceihh+Kyyy7DiSee2KP6ewu9PTYTJkwoKDDz588HgIJi05dYHePSGa666ioMHz4cl1xyiTt2ww03YPLkyXjiiSew8847N6ytVUVvj83EiRNRqVQwdepUd2zatGkAgNdeew2bbrppw9paFfT2uPSXv78J5UhkphOMGTMGY8aMaVh9c+bMwT777IOTTjoJ3/rWtwrnH3/8ceR57r7feeeduPjii/HYY49hnXXWaZgdq4reHhfAKDKHHHIILr74YnzqU59qWNuNRm+PzfTp03Huueeivb0dTU1NAID7778fkyZNaugf+lVFo8elKyxbtgxZlgXH6LtSqtfs6A56e2x23XVX1Go1/POf/8TGG28MAHjxxRcBAOuvv36v2dEVentc+svf34RyJDLTILz22mt477338NprryHPczzzzDMAgE022QTDhg3DnDlzsPfee+OAAw7AWWed5Z6msyzD2LFjAfinI8JTTz0FKSW22GKLXu1LI9GIcZk1axY+/OEP4wtf+AKOOuooV6apqalfBwE3YmyOP/54/Nd//RdOPvlknHvuuXjppZdw4YUX4rzzzluj3Ew9QVfjApg8IEuWLMG8efOwfPlyV2azzTZDU1MTPvzhD+Pyyy/HBRdcgOOOOw6LFy/Gueeei/XXXx/bbrttH/Vs1dGIsdlvv/3wwQ9+EKeccgquuOIKKKXwuc99Dvvvv3+g1vQnNGJcBuLf37UKfbuYauDgpJNO0gAKr4cfflhrbZYDlp1ff/3169Y5EJYGNmJc6tWx55579kmfGoVG/Wb++te/6t133103NzfrCRMm6PPPP79fL8vualy01nrPPfcsLfPyyy+7MjfffLPedttt9dChQ/XYsWP1YYcdpp9//vne71AD0aix+fe//62PPPJIPWzYMD1+/Hh98skn63fffbf3O9QgNGpcOAbC39+1CULrNSwaLiEhISEhISGhB0irmRISEhISEhL6NRKZSUhISEhISOjXSGQmISEhISEhoV8jkZmEhISEhISEfo1EZhISEhISEhL6NRKZSUhISEhISOjXSGQmISEhISEhoV8jkZmEhD7EXnvthRkzZgyYNk8++WQcccQRq6XuhISEhHpI2xkkJKxluO2221CtVt33DTbYADNmzOh1UpWQkJDQKCQyk5CwlqE/72eVkJCQUIbkZkpIWEOwYMECnHjiiRg5ciSGDBmCgw46CC+99JI7f91112HEiBH47W9/i2nTpmHYsGH40Ic+hLlz57oytVoNn//85zFixAiMHj0aX/nKV3DSSScFrh/uZtprr73w6quv4otf/CKEEG5zyvPPPx/bbLNNYN8VV1wR7MSd5znOOuss19Y555yDeHcUrTUuueQSbLTRRhg8eDC23npr/PKXv2zMgCUkJCRYJDKTkLCG4OSTT8ZTTz2Fu+66C48//ji01jj44IPR0dHhyixbtgyXXnoprr/+ejzyyCN47bXXcPbZZ7vzF198MW688UZce+21+P3vf49FixbhjjvuqNvmbbfdhnXXXRcXXHAB5s6dGxCjrvDtb38bP/nJT3DNNdfg0UcfxXvvvYfbb789KPP1r38d1157La6++mrMmTMHX/ziF/Hxj38cs2fP7v7AJCQkJHSB5GZKSFgD8NJLL+Guu+7C73//e+yyyy4AgBtvvBGTJ0/GHXfcgWOOOQYA0NHRge9///vYeOONAQBnnHEGLrjgAlfPd7/7XXz1q1/FRz7yEQDAlVdeiXvuuaduu6NGjUKWZWhpacGECRN6ZPMVV1yBr371qzjqqKMAAN///vfx29/+1p1funQpLrvsMjz00EOYPn06AGCjjTbCo48+ih/84AfYc889e9ReQkJCQj0kMpOQsAbg+eefR6VSwU477eSOjR49Gptuuimef/55d2zIkCGOyADAxIkTMX/+fADAwoUL8dZbb2HHHXd057Msw3bbbQelVEPtXbhwIebOnetICgBUKhVsv/32ztX03HPPYcWKFdh///2Da9vb27Httts21J6EhIS1G4nMJCSsAYhjTfhximMBEKxCAgAhROFaXr6zujuDlLJwHXd3dQdEoH7zm99gnXXWCc41Nzf32KaEhISEekgxMwkJawA222wz1Go1PPHEE+7Yu+++ixdffBHTpk3rVh2tra0YP348/vjHP7pjeZ7jz3/+c6fXNTU1Ic/z4NjYsWMxb968gNA888wzQVsTJ07EH/7wB3esVqvh6aefDvrU3NyM1157DZtssknwmjx5crf6lJCQkNAdJGUmIWENwJQpU3D44YfjtNNOww9+8AO0tLTgP/7jP7DOOuvg8MMP73Y9Z555JmbOnIlNNtkEH/jAB/Dd734XCxYsKKg1HBtssAEeeeQRfOxjH0NzczPGjBmDvfbaC2+//TYuueQSHH300bjvvvtw7733Yvjw4e66L3zhC7joooswZcoUTJs2DZdddhnef/99d76lpQVnn302vvjFL0Iphd122w2LFi3CY489hmHDhuGkk05aqbFKSEhIiJGUmYSENQTXXnsttttuOxxyyCGYPn06tNa45557Cq6lzvCVr3wFxx13HE488URMnz4dw4YNw4EHHohBgwbVveaCCy7AK6+8go033hhjx44FAEybNg3f+973cNVVV2HrrbfGH//4x2DVFAB86UtfwoknnoiTTz4Z06dPR0tLiws8Jnzzm9/Eeeedh5kzZ2LatGk48MADcffdd2PDDTfswcgkJCQkdA6hV8ahnpCQ0C+glMK0adNw7LHH4pvf/GZfm5OQkJCwWpDcTAkJAwivvvoq7r//fuy5555oa2vDlVdeiZdffhnHH398X5uWkJCQsNqQ3EwJCQMIUkpcd9112GGHHbDrrrvi2WefxYMPPtjtIOKEhISE/ojkZkpISEhISEjo10jKTEJCQkJCQkK/RiIzCQkJCQkJCf0aicwkJCQkJCQk9GskMpOQkJCQkJDQr5HITEJCQkJCQkK/RiIzCQkJCQkJCf0aicwkJCQkJCQk9GskMpOQkJCQkJDQr5HITEJCQkJCQkK/xv8HlgxJg+UQCuEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x='longitude', y='latitude', c='ghi',\n",
    "                colormap='YlOrRd',\n",
    "                title=str(time_index[timestep]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nearest Timeseries for given Lat/Lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Site index for New York City: \t\t 508721\n",
      "Coordinates of New York City: \t (40.7128, -74.0059)\n",
      "Coordinates of nearest point: \t [ 40.73 -74.02]\n"
     ]
    }
   ],
   "source": [
    "# Find the nearest site is using a KDtree\n",
    "dset_coords = np.column_stack((latitudes, longitudes))\n",
    "tree = cKDTree(dset_coords)\n",
    "def nearest_site(tree, lat_coord, lon_coord):\n",
    "    lat_lon = np.array([lat_coord, lon_coord])\n",
    "    dist, pos = tree.query(lat_lon)\n",
    "    return pos\n",
    "\n",
    "NewYorkCity = (40.7128, -74.0059)\n",
    "NewYorkCity_idx = nearest_site(tree, NewYorkCity[0], NewYorkCity[1] )\n",
    "\n",
    "print(\"Site index for New York City: \\t\\t {}\".format(NewYorkCity_idx))\n",
    "print(\"Coordinates of New York City: \\t {}\".format(NewYorkCity))\n",
    "print(\"Coordinates of nearest point: \\t {}\".format(dset_coords[NewYorkCity_idx]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:53:48.160502Z",
     "start_time": "2019-02-06T19:53:46.607119Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.32 ms, sys: 2.4 ms, total: 6.72 ms\n",
      "Wall time: 571 ms\n"
     ]
    }
   ],
   "source": [
    "# Get the entire 2012 timeseries data for a point in NYC\n",
    "%time tseries = dset[:, NewYorkCity_idx] / dset.attrs['scale_factor']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:53:48.165562Z",
     "start_time": "2019-02-06T19:53:48.162324Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8760"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(tseries)   # 1 years * 365 days * 24 hours "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:54:20.235635Z",
     "start_time": "2019-02-06T19:54:20.063966Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'NYC ghi in 2006')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(time_index, tseries)\n",
    "plt.ylabel(\"ghi\")\n",
    "plt.title(\"NYC ghi in 2006\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GHI Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:58:14.770799Z",
     "start_time": "2019-02-06T19:58:14.726103Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>hour</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>102.580645</td>\n",
       "      <td>191.580645</td>\n",
       "      <td>260.258065</td>\n",
       "      <td>310.935484</td>\n",
       "      <td>321.516129</td>\n",
       "      <td>291.451613</td>\n",
       "      <td>243.387097</td>\n",
       "      <td>146.870968</td>\n",
       "      <td>20.903226</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>304.321429</td>\n",
       "      <td>383.785714</td>\n",
       "      <td>432.750000</td>\n",
       "      <td>449.892857</td>\n",
       "      <td>427.107143</td>\n",
       "      <td>367.107143</td>\n",
       "      <td>278.107143</td>\n",
       "      <td>168.571429</td>\n",
       "      <td>57.428571</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>404.838710</td>\n",
       "      <td>486.290323</td>\n",
       "      <td>538.161290</td>\n",
       "      <td>546.516129</td>\n",
       "      <td>518.451613</td>\n",
       "      <td>460.483871</td>\n",
       "      <td>359.935484</td>\n",
       "      <td>242.451613</td>\n",
       "      <td>114.225806</td>\n",
       "      <td>16.967742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>416.000000</td>\n",
       "      <td>465.833333</td>\n",
       "      <td>479.333333</td>\n",
       "      <td>475.633333</td>\n",
       "      <td>448.600000</td>\n",
       "      <td>391.600000</td>\n",
       "      <td>321.300000</td>\n",
       "      <td>234.033333</td>\n",
       "      <td>140.466667</td>\n",
       "      <td>49.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12.548387</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>530.225806</td>\n",
       "      <td>606.096774</td>\n",
       "      <td>659.064516</td>\n",
       "      <td>681.741935</td>\n",
       "      <td>655.548387</td>\n",
       "      <td>587.612903</td>\n",
       "      <td>491.451613</td>\n",
       "      <td>369.967742</td>\n",
       "      <td>236.096774</td>\n",
       "      <td>105.290323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16.866667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>550.166667</td>\n",
       "      <td>627.333333</td>\n",
       "      <td>669.866667</td>\n",
       "      <td>668.666667</td>\n",
       "      <td>637.466667</td>\n",
       "      <td>574.300000</td>\n",
       "      <td>482.433333</td>\n",
       "      <td>369.300000</td>\n",
       "      <td>240.633333</td>\n",
       "      <td>111.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>15.967742</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>511.709677</td>\n",
       "      <td>584.903226</td>\n",
       "      <td>627.000000</td>\n",
       "      <td>639.516129</td>\n",
       "      <td>611.322581</td>\n",
       "      <td>550.548387</td>\n",
       "      <td>456.032258</td>\n",
       "      <td>339.967742</td>\n",
       "      <td>218.548387</td>\n",
       "      <td>101.967742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.387097</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>530.870968</td>\n",
       "      <td>630.838710</td>\n",
       "      <td>689.806452</td>\n",
       "      <td>703.419355</td>\n",
       "      <td>670.354839</td>\n",
       "      <td>598.838710</td>\n",
       "      <td>499.548387</td>\n",
       "      <td>364.064516</td>\n",
       "      <td>222.612903</td>\n",
       "      <td>92.806452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>458.633333</td>\n",
       "      <td>537.733333</td>\n",
       "      <td>581.133333</td>\n",
       "      <td>587.366667</td>\n",
       "      <td>556.866667</td>\n",
       "      <td>492.066667</td>\n",
       "      <td>394.700000</td>\n",
       "      <td>275.766667</td>\n",
       "      <td>147.033333</td>\n",
       "      <td>31.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>336.903226</td>\n",
       "      <td>395.548387</td>\n",
       "      <td>428.193548</td>\n",
       "      <td>431.354839</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>328.225806</td>\n",
       "      <td>245.516129</td>\n",
       "      <td>144.322581</td>\n",
       "      <td>47.064516</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>286.566667</td>\n",
       "      <td>351.900000</td>\n",
       "      <td>379.933333</td>\n",
       "      <td>372.066667</td>\n",
       "      <td>329.933333</td>\n",
       "      <td>260.133333</td>\n",
       "      <td>169.466667</td>\n",
       "      <td>67.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>183.903226</td>\n",
       "      <td>236.451613</td>\n",
       "      <td>266.838710</td>\n",
       "      <td>265.096774</td>\n",
       "      <td>239.967742</td>\n",
       "      <td>188.903226</td>\n",
       "      <td>117.677419</td>\n",
       "      <td>36.032258</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "hour          0    1    2    3    4    5    6    7    8    9   ...  \\\n",
       "month                                                          ...   \n",
       "1       0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "2       0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "3       0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "4       0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "5      12.548387  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "6      16.866667  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "7      15.967742  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "8       8.387097  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "9       0.300000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "10      0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "11      0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "12      0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...   \n",
       "\n",
       "hour           14          15          16          17          18          19  \\\n",
       "month                                                                           \n",
       "1      102.580645  191.580645  260.258065  310.935484  321.516129  291.451613   \n",
       "2      304.321429  383.785714  432.750000  449.892857  427.107143  367.107143   \n",
       "3      404.838710  486.290323  538.161290  546.516129  518.451613  460.483871   \n",
       "4      416.000000  465.833333  479.333333  475.633333  448.600000  391.600000   \n",
       "5      530.225806  606.096774  659.064516  681.741935  655.548387  587.612903   \n",
       "6      550.166667  627.333333  669.866667  668.666667  637.466667  574.300000   \n",
       "7      511.709677  584.903226  627.000000  639.516129  611.322581  550.548387   \n",
       "8      530.870968  630.838710  689.806452  703.419355  670.354839  598.838710   \n",
       "9      458.633333  537.733333  581.133333  587.366667  556.866667  492.066667   \n",
       "10     336.903226  395.548387  428.193548  431.354839  397.000000  328.225806   \n",
       "11     286.566667  351.900000  379.933333  372.066667  329.933333  260.133333   \n",
       "12     183.903226  236.451613  266.838710  265.096774  239.967742  188.903226   \n",
       "\n",
       "hour           20          21          22          23  \n",
       "month                                                  \n",
       "1      243.387097  146.870968   20.903226    0.000000  \n",
       "2      278.107143  168.571429   57.428571    0.000000  \n",
       "3      359.935484  242.451613  114.225806   16.967742  \n",
       "4      321.300000  234.033333  140.466667   49.700000  \n",
       "5      491.451613  369.967742  236.096774  105.290323  \n",
       "6      482.433333  369.300000  240.633333  111.866667  \n",
       "7      456.032258  339.967742  218.548387  101.967742  \n",
       "8      499.548387  364.064516  222.612903   92.806452  \n",
       "9      394.700000  275.766667  147.033333   31.333333  \n",
       "10     245.516129  144.322581   47.064516    0.000000  \n",
       "11     169.466667   67.333333    0.000000    0.000000  \n",
       "12     117.677419   36.032258    0.000000    0.000000  \n",
       "\n",
       "[12 rows x 24 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({'ghi': tseries}, index=time_index)\n",
    "df[\"year\"] = df.index.year\n",
    "df[\"month\"] = df.index.month\n",
    "df[\"day\"] = df.index.day\n",
    "df[\"hour\"] = df.index.hour\n",
    "\n",
    "agg = df.groupby([\"month\",\"hour\"]).mean()\n",
    "agg = agg.reset_index().pivot(index=\"month\",columns=\"hour\",values=\"ghi\")\n",
    "agg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-06T19:58:30.404312Z",
     "start_time": "2019-02-06T19:58:30.214762Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7ff77891e9b0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sJ6W4KteNnFxWezfywIEDr1rvsccew6xZszBv3jxTF/sXX3yB5cuX49VXX8Xo0aPtdm9RFPHss88iNTUV48ePt/m6AODh4YFnnnkGmzdvhsFwaTR29+7dOHv2LKZNm9Zhm5kzZyIjIwPJycnYsWMH1q1bh2PHjiEhIQE///yzqd4PP/yAYcOGIT8/H7t378bSpUvxz3/+E/fccw9aW1strvvwww+jf//+2L59OxYtWoStW7fi5Zdfvmr85eXlqK+vx7hx47r0/be1tVmU9tehK/R6Pfbs2WMxVOLh4YERI0Zg//79pnkfhw8fRl1dHRITE5GYmIjS0lJT/YMHD6KlpcXiOmfPnsXXX39tMeSi0Wgwbdo0PPvss/jggw8QExOD6dOnY9myZVi8eDEWLFiA7du3o1u3bpg4cSJ++uknU1udToeHHnoIVVVV+Oqrr3D33Xebzg0ePBgHDhzAiRMnMHny5A5/bpfTarX45ptvOvx3kpSUhObmZrMEjMiVcNiFHOrcuXNYtGgR4uPjkZqaes36ubm5+Oc//4nJkyfjk08+wZQpU3Dvvfd2OMFVyr3/9Kc/4ciRI3jvvfdsvu7lpk2bhuXLl2PXrl148MEH8fbbbyMxMRG33nqrRd2DBw/izTffxOrVqzF37lzT8XvvvRf9+/dHTk4OVq5cCQCYNWuW6bwoikhISEBSUhL69OmDTz/91CJhmjFjBl555RUAQHJyMr7//nu8/fbb2LBhQ6e9Vu1/YbfPrbjclZM7vbzMf3UcO3YM3t7enb4uXXH48GG0tLRg0KBBFudGjhyJDz74AGVlZRg2bBhKSkrQs2dP9O/fHwaDATU1NTh27BgGDhzY6XyP7du346abbrI4Xltbi88++wxxcXEAgPj4eISFheGNN97A999/D7VaDQBQq9W4++67sX37dsyZMwcAoFAo8Omnn3b6PfXr1w/ff/+9Vd//7Nmz0dzcjCVLllici42NhSAI+Mc//tHlZJHkJ0KAUcJeHSL3+SC6tl9++QUPPPAARFHEtm3bOhyGuJJCocB7772H2tpaDBo0CKIo4t1337XpGQLXuvfp06exePFi/O53v7PpkdAdiYyMRFJSEt5++23U1tbigw8+wPTp0zus+/HHH0MQBDz55JNmvQUqlQp33XWX2V+1NTU1mDVrFiIiIuDl5QVvb29TknDixAmLa1+ZjNx55524ePEiampqbP6e6uvr4e3tbVaunOx56623oqyszKLs2bPH5vu1a+9R6GhI4vJ5H+3/TUxMBHDpEeFhYWGmoZeSkhKEh4fjjjvuMLvG9u3bMWHCBItEqmfPnqbEAwCCg4MRFhaGu+++25R4tN8HgGkVjj395je/wV//+lesWbPGLJZ23t7euOmmm3Du3Dm735sch8MuRNdZXV0dRo8ejXPnzqG4uBi33HKL1W379euHe++9FxcvXsQTTzzR4VJKKfeePXs2oqOj8fDDD6O+vh719fW4cOECgEtLJa81V+JKM2bMwEcffYScnBz4+fnhkUce6bDezz//DFEUER4ebvHhfvDgQdN8DqPRiJSUFLz//vtYsGABPv/8c3z99dc4ePAgAHS4cufK+S7tExyvtsKod+/eACw/TAMDA03JxGuvvdZhW19fX8THx1uUu+66q9P7XUt7rL6+vhbnYmJiEBoair1795rme7QnH8Cl5aglJSXQ6XT46quvLHo3NBoN/vGPf3S4yiU4ONjimI+Pj8VxHx8fAOh0BUtXvf7661i+fDlWrFiBF154odN6vr6+13XFGNH1xGEXuu7q6uqQnJyMyspKfP7557jzzjttav/WW2/hk08+wa9+9Svk5eUhLS0NQ4YMsdu9jx49itOnT6N79+4W50aOHAmlUmnTviSTJk3C7Nmz8cYbb+C5556Dn59fh/VCQ0MhCIJpH4srtR87evQo/vWvf6GgoABTp041nbe2+95acXFx6N69Oz766CNkZWWZjnt6eiI+Pt4Ui6O0L3f+5ZdfLM4JgoDExETs2rULX3/9Nerr682Sj8TERGRmZuKrr77CxYsXLZKPoqIiBAQEdGne0PX0+uuvIzMzE5mZmXj11VevWreurq5LS8LJeRhFAUax60MnUtrKjT0fdF21f/ifOnUKu3fvRmxsrE3tjxw5ghdffBFPP/00vvzyS9x5551IS0tDXV2d3e5dWFhoWp7ZXhYuXAgA+POf/4yPP/7Yppj9/PywdOlSjBs3Ds8//3yn9VJTUyGKIs6dO9dhr0FMTAwAmOZoXJmg2HvJq4+PD1555RUcPXrUNNdETu3DGj/88EOH50eOHInm5mb87ne/Q1hYmNmwSmJiImpra7F27VpT3ctt374dqampHSZ9cvntb3+LzMxM/PrXv+60h6ndTz/9hIsXL2LAgAEOio6uBwM8JBdXxZ4P6pJPP/0Uzc3NpqV+x48fN+1Y+cADD8Df3x8tLS0YM2YMDh06hNzcXLS1tZmGCgCgR48eHU7EbNfc3IzJkycjMjIS69atg4+PD9577z0MGjQI06ZNw44dOzpta8u9L98rot2PP/4I4FJvQPtf/baYO3eu2STSjgwfPhz/7//9P0ybNg3l5eUYMWIEAgICUF1djf379yMmJgbPP/88br/9dtx6661YtGgRRFFEcHAwPvroo6suNe6qhQsX4j//+Q8WLVqEffv2IS0tDX379oVOp8OpU6fw1ltvwdPTE/7+/na/95V69eqFW265BQcPHsSLL75ocb49oSgqKrIY2oqOjkZISAiKiopw8803m+27Ultbi9LSUhQWFl7fb8AGq1evxtKlS3H//ffjwQcfNHuvApbv0fbzVyZV5FrcueeDyQd1yfPPP282N+Bvf/sb/va3vwG4tGtk37598fPPP6OsrAwAOtywa+rUqZ1uRw5cWuFx5swZlJWVISAgAABwyy234K233sKjjz6K3NzcTreZlnpvR/nLX/6CoUOH4i9/+QvWrVsHo9EItVqN4cOHm/Yk8fb2xkcffYSXXnoJM2fOhJeXF5KTk7Fnzx7TPA178fDwwKZNm/DII4/gzTffxIIFC1BbWws/Pz/ceuutGDVqFLZs2WK278b19MQTTyAvLw86nc6il2LAgAFQqVTQaDRmQy7Apd6ie++9Fzt27EBSUpLZuR07dsDHxwdjx4693uFb7aOPPgJwaVO1jvYOEUXR7OsdO3YgJibG1DtG5GoE8cp3NRGRk/jpp58QGRmJzZs3Iy0tzS7XfOCBB+Dn54ft27fb5XqO1tDQALVajTVr1uC5556TOxzqgoaGBiiVSryw/yEounV9ibquqRV59xRBq9W6xOMbLseeDyJyWmq1GhkZGVixYgUeffRRq5ZnX8vOnTvtEJl81qxZg969e3e6cR25DoMowCBh6ERKW7kx+SAip/brX/8a/v7+OHfuHCIiIuQOR3ZBQUEoKCiw2J+EyJVw2IWIiMiB2oddZu57WPKwy19GbOewCxEREVlHlPhUW5E7nBIRERFZ54ZPPkRRRENDg8VSNSIiois58jPDAEFycVU3/LBLQ0MDbrrpJlRVVbncmBgRETlWQ0MDIiIiUF9fD6VSeV3vZRSlbRRmdOG/qW/45KN9B07OkiciIms1NjZe9+TDnd3wyUdgYCAA4B48AC90fVYxEVny8JX+bBTxNuufcNyRxlu7SY6hOVzaCLTO8pmEtvOS9mes5wXpXfCKemkxKH/QS4/hn99Kam+8IO1Jv21oxX7sNH12XE9GiRNOpbSV2w2ffLQ/lMsL3vASmHwQ2ZOH4CP5GqKntATGy9tXcgyeCmm/xD2lhwBRavJhkJ58ePpIi8HLS/qHoZfE95RRaJMWwH9fgvbPjuvJCAFGCfM2pLSV2w2ffBARETkjd97h1CX6bNatW4fIyEj4+voiLi4OX375pdwhERERURc5ffKxbds2ZGRkYMmSJTh06BDuvfdejB07FmfOnJE7NCIioi5rn/Mhpbgqp488JycHM2bMwLPPPos77rgDubm5iIiIQH5+vtyhERERdZkRAoyihOLCcz6cOvnQ6/WoqKhASkqK2fGUlBQcOHCgwzY6nQ4NDQ1mhYiIiJyHUycf58+fh8FgQHh4uNnx8PBwaDSaDttkZ2dDqVSaCvf3ICIiZyT+d7VLV4vIno/r68olT6IodroMavHixdBqtaZSVVXliBCJiIhsImnI5b/FVTn1UtvQ0FB4enpa9HLU1NRY9Ia0UygUUCikb3xERERE14dT93z4+PggLi4OxcXFZseLi4uRkJAgU1RERETSufNqF6fu+QCAuXPn4qmnnkJ8fDyGDRuG9evX48yZM5g1a5bcoREREXWZ1KETDrtcR2lpaaitrcWyZctQXV2N6Oho7Ny5E3369JE7NCIiIuoCp08+ACA9PR3p6elyh0FERGQ3fLYLERERORSHXYjI9Uh86qbnHVGSQ6i7O1jyNer7SZs0d/HmVskxKLo3S2rv4yPxSaoALl6U9tTtlvN+kmPwaPOU1N7gJ609AHgEd5fU3njhguQYHMWdkw/XnSpLREREVsvMzIQgCGZFpVKZzouiiMzMTKjVavj5+SEpKQnHjh0zu4ZOp8OcOXMQGhqKgIAAjB8/HmfPnrU5FiYfREREMpBjk7GBAweiurraVI4cOWI6t2rVKuTk5CAvLw9lZWVQqVQYPXo0GhsbTXUyMjJQVFSEwsJC7N+/H01NTUhNTYXBYLApDg67EBERyUCOYRcvLy+z3o52oigiNzcXS5YswaRJkwAAmzZtQnh4OLZu3YqZM2dCq9Viw4YNeOedd5CcnAwA2LJlCyIiIrBnzx6MGTPG6jjY80FEROTCrnyYqk6n67TuyZMnoVarERkZicceewynTp0CAFRWVkKj0Zg9yFWhUCAxMdH0INeKigq0traa1VGr1YiOju70Ya+dYfJBREQkAxGQ+GC5SyIiIsweqJqdnd3h/YYMGYLNmzfjs88+w5tvvgmNRoOEhATU1taaHmNytQe5ajQa+Pj4oHv37p3WsRaHXYiIiGRgr2GXqqoqBAUFmY539nyzsWPHmv4/JiYGw4YNw6233opNmzZh6NChAGx7kKstda7Eng8iIiIXFhQUZFasfbhqQEAAYmJicPLkSdM8kKs9yFWlUkGv16Ourq7TOtZi8kFERCQDOVa7XE6n0+HEiRPo2bMnIiMjoVKpzB7kqtfrUVpaanqQa1xcHLy9vc3qVFdX4+jRozY/7JXDLkRERDJw9GqX+fPnY9y4cejduzdqamqwfPlyNDQ0YOrUqRAEARkZGcjKykJUVBSioqKQlZUFf39/TJkyBQCgVCoxY8YMzJs3DyEhIQgODsb8+fMRExNjWv1iLSYfREREbuDs2bN4/PHHcf78efTo0QNDhw7FwYMHTQ9qXbBgAVpaWpCeno66ujoMGTIEu3fvRmBgoOkaa9asgZeXFyZPnoyWlhaMGjUKBQUF8PS0bXdbJh9EREQycHTPR2Fh4VXPC4KAzMxMZGZmdlrH19cXa9euxdq1a22695WYfBAREclAFAWIEpIPKW3lxuSDiIhIBu37dUhp76q42oWIiIgcij0fREREMpDj2S7OgskHkYvyiuwjqb12QPdrV7rWNW6R3nmqu/WipPZ91bWSY+ivrJHUXuHRJjmGGl3gtStdxcmAUMkx1BmCJbX3brRtxUNHfH+WFoPHeWnvBw/RA5D2lrSaO8/54LALERERORR7PoiIiGTAYRciIiJyKA67EBERETmIUycf2dnZGDx4MAIDAxEWFoaJEyfi22+/lTssIiIiyUSJD5Vjz8d1UlpaitmzZ+PgwYMoLi5GW1sbUlJS0NzcLHdoREREkogARFFCkfsbkMCp53zs2rXL7OuNGzciLCwMFRUVGDFihExRERERkRROnXxcSavVAgCCgztfB67T6aDT6UxfNzQ0XPe4iIiIbGWEAIHbqzs3URQxd+5c3HPPPYiOju60XnZ2NpRKpalEREQ4MEoiIiLrtK92kVJclcskHy+88AL+/e9/4913371qvcWLF0Or1ZpKVVWVgyIkIiKynpTJplL3CJGbSwy7zJkzBx9++CH27duHXr16XbWuQqGAQqFwUGRERERkK6dOPkRRxJw5c1BUVISSkhJERkbKHRIREZFdtK9akdLeVTl18jF79mxs3boVH3zwAQIDA6HRaAAASqUSfn5+MkdHRETUddzh1Enl5+dDq9UiKSkJPXv2NJVt27bJHRoRERF1kVP3fIiu3KdERER0Fe7c8+HUyQcREdGNyigKEPhUWyJyFM+gIMnXaA1XSmp/sbv0UdfWIOm9kx5e0q7RrPeRHMOJOpWk9vb4EGi4KG2VXuP5AMkx+DRK+z4Eg+QQ0NZN2s/Tt/tNktp7GPWARtIlyApMPoiIiGTA1S5ERETkUJeSDylzPuwYjIM59WoXIiIiuvGw54OIiEgGXO1CREREDiX+t0hp76qYfBAREcnAnXs+OOeDiIiIHIo9H0RERHJw43EXJh9ERERykDjsAg67EBEREVmHPR9EREQy4A6nRERE5FBc7UJERETkIOz5ICIikoMoSJs06sI9H0w+iIiIZMA5H25A8PaBIHh3qa3YqrdzNOTuhOCbJF/jws2+kto39ZL+V5NHnybJ10joUympfXL345JjGKSoktRe5Sk5BPxkkPbz+KL5dskxfKi5U1L7H7qrJccA+Ehq3UMbIqm9waADNJIuYT033ueDcz6IiIjIodym54OIiMiZuPNqFyYfREREcnHhoRMpOOxCREREDuVSyUd2djYEQUBGRobcoRAREUnSPuwipUjR0WeqKIrIzMyEWq2Gn58fkpKScOzYMbN2Op0Oc+bMQWhoKAICAjB+/HicPXvWpnu7TPJRVlaG9evX4847pc3GJiIicgqiHUoXdfaZumrVKuTk5CAvLw9lZWVQqVQYPXo0GhsbTXUyMjJQVFSEwsJC7N+/H01NTUhNTYXBYLD6/i6RfDQ1NeGJJ57Am2++ie7du8sdDhERkdNoaGgwKzqd7qr1O/tMFUURubm5WLJkCSZNmoTo6Ghs2rQJFy5cwNatWwEAWq0WGzZswOrVq5GcnIzY2Fhs2bIFR44cwZ49e6yO2SWSj9mzZ+PBBx9EcnLyNevqdDqLHwQREZHzEexQgIiICCiVSlPJzs6+6l07+0ytrKyERqNBSkqK6ZhCoUBiYiIOHDgAAKioqEBra6tZHbVajejoaFMdazj9apfCwkJ88803KCsrs6p+dnY2Xn/99escFRERkUR22mSsqqoKQUFBpsMKhaLTJlf7TNVoLu2uFh4ebnY8PDwcp0+fNtXx8fGxGIUIDw83tbeGU/d8VFVV4aWXXsKWLVvg62vdbo6LFy+GVqs1laoqaTsXEhERObOgoCCz0lnyYe1nqiCYT2QVRdHi2JWsqXM5p04+KioqUFNTg7i4OHh5ecHLywulpaX44x//CC8vrw4ntygUCosfBBERkdNx8ITTa32mtvd4XNmDUVNTYzqnUqmg1+tRV1fXaR1rOHXyMWrUKBw5cgSHDx82lfj4eDzxxBM4fPgwPD3t8EAFIiIiObQ/1VZKscG1PlNvueUWqFQqFBcXm9ro9XqUlpYiISEBABAXFwdvb2+zOtXV1Th69KipjjWces5HYGAgoqOjzY4FBAQgJCTE4jgREZErcfRTba35TM3IyEBWVhaioqIQFRWFrKws+Pv7Y8qUKQAApVKJGTNmYN68eQgJCUFwcDDmz5+PmJgYqxaFtHPq5IOIiIgcZ8GCBWhpaUF6ejrq6uowZMgQ7N69G4GBgaY6a9asgZeXFyZPnoyWlhaMGjUKBQUFNo1GuFzyUVJSIncIRERE0tlptYsUV36mCoKAzMxMZGZmdtrG19cXa9euxdq1a7t83y4nH/X19fj6669RU1MDo9Fodu7pp5/uckBERERuoQvzNizau6guJR8fffQRnnjiCTQ3NyMwMNBseY0gCE6ZfAieAgSha/NrxVY7B0PkBEQP6X82eXtbv51yZ4K9myW17+EpfSPBAA/jtStdRaMd/gKtNXaT1P6C0UdyDK0G+Sfxi1KXQXhIvIALf6C7ki79lObNm4fp06ejsbER9fX1qKurM5VffvnF3jESERHdcARRenFVXer5OHfuHF588UX4+/vbOx4iIiL34ARzPuTSpZ6PMWPGoLy83N6xEBERkRuwuufjww8/NP3/gw8+iFdeeQXHjx9HTEwMvL29zeqOHz/efhESERHdiDjh9NomTpxocWzZsmUWxwRB6HDbcyIiIrqMGw+7WJ18XLmcloiIiKgrujTnY/PmzdDpdBbH9Xo9Nm/eLDkoIiKiG56DHyznTLqUfEybNg1ardbieGNjI6ZNmyY5KCIiohueGycfXVpqK4qi2cZi7c6ePQulUik5KCIiohseJ5xaJzY2FoIgQBAEjBo1Cl5e/2tuMBhQWVmJ+++/3+5BEhER0Y3DpuSjfcXL4cOHMWbMGHTr9r/tgH18fNC3b188/PDDdg2QiIjoRiR1l1K32eH0tddeAwD07dsXaWlp8PX1vS5BERER3fC41NY2U6dOBXBpdUtHT7Xt3bu39MiIiIjohtSl5OPkyZOYPn06Dhw4YHa8fSIqNxkjIiKiznQp+XjmmWfg5eWFjz/+GD179uxw5QsRERF1ToDEOR92i8TxupR8HD58GBUVFbj99tvtHc91I4qA6MoDZHRjMUjfMdhTJ+397NUi/VdXS7OP5GucvhAsqf1x35slxyBVgIflpou20rRJ26agRh8oOQZti7R5fJ7NXdo6yozXRYkXaJP4b8vAzwlH6FLyMWDAAJw/f97esRAREbkPN97no0tp6sqVK7FgwQKUlJSgtrYWDQ0NZoWIiIiugTuc2iY5ORkAMGrUKLPjnHBKRERE19Kl5GPv3r32joOIiMi9cJ8P2yQmJto7jk6dO3cOCxcuxKeffoqWlhb0798fGzZsQFxcnMNiICIisjfucNoF9fX12LBhA06cOAFBEDBgwABMnz7drg+Wq6urw/DhwzFy5Eh8+umnCAsLww8//ICbbrrJbvcgIiKSBXs+bFNeXo4xY8bAz88Pv/rVryCKInJycrBixQrs3r0bgwYNsktwK1euREREBDZu3Gg61rdvX7tcm4iIiOTRpdUuL7/8MsaPH48ff/wR77//PoqKilBZWYnU1FRkZGTYLbgPP/wQ8fHxePTRRxEWFobY2Fi8+eabV22j0+m4+oaIiJyfG6926VLyUV5ejoULF8LL638dJ15eXliwYAHKy8vtFtypU6eQn5+PqKgofPbZZ5g1axZefPFFbN68udM22dnZUCqVphIREWG3eIiIiOylfc6HlOKqupR8BAUF4cyZMxbHq6qqEBgofZe9dkajEYMGDUJWVhZiY2Mxc+ZMPPfcc8jPz++0zeLFi6HVak2lqqrKbvEQERGRdF1KPtLS0jBjxgxs27YNVVVVOHv2LAoLC/Hss8/i8ccft1twPXv2xIABA8yO3XHHHR0mPu0UCgWCgoLMChERkdNp3+FUSnFRXZpw+vvf/x6CIODpp59GW1sbRFGEj48Pnn/+ebzxxht2C2748OH49ttvzY5999136NOnj93uQUREJAuudrGNj48P/vCHPyA7Oxs//PADRFFEv3794O/vb9fgXn75ZSQkJCArKwuTJ0/G119/jfXr12P9+vV2vQ8RERE5jk3Jx/Tp062q9/bbb3cpmCsNHjwYRUVFWLx4MZYtW4bIyEjk5ubiiSeesMv1iYiI5MJNxqxUUFCAPn36IDY2FqLomO86NTUVqampDrkXERGRw3DYxTqzZs1CYWEhTp06henTp+PJJ59EcHDw9YqNiIiIbkA2JR/r1q3DmjVr8P777+Ptt9/G4sWL8eCDD2LGjBlISUmBIDjxzFuDARC6tLiHyO7ECxckX8NDb5TUXrDDw6dFO8y2V3pflNQ+xlf6cvphihZJ7f09fCTHcKbtnKT2jQY/yTGcCFJJav8fP+mP1xA9pP2eFlqlvbEFRz6VXepeHS7c82HzT1mhUODxxx9HcXExjh8/joEDByI9PR19+vRBU1PT9YiRiIjoxuPGO5x2+cFyACAIAgRBgCiKMBql/RVGRETkVtx4zofNPR86nQ7vvvsuRo8ejdtuuw1HjhxBXl4ezpw5g27dul2PGImIiOgGYlPPR3p6OgoLC9G7d29MmzYNhYWFCAkJuV6xERER3bC41NZKf/7zn9G7d29ERkaitLQUpaWlHdZ7//337RIcERER3XhsSj6efvpp517RQkRERE7P5k3GiIiIyA4cPOE0Pz8f+fn5+PHHHwEAAwcOxNKlSzF27NhLlxNFvP7661i/fj3q6uowZMgQ/OlPf8LAgQNN19DpdJg/fz7effddtLS0YNSoUVi3bh169eplUyzc+IKIiEgG7XM+pBRb9OrVC2+88QbKy8tRXl6O++67DxMmTMCxY8cAAKtWrUJOTg7y8vJQVlYGlUqF0aNHo7Gx0XSNjIwMFBUVobCwEPv370dTUxNSU1NhsHF/FCYfREREbmDcuHF44IEH0L9/f/Tv3x8rVqxAt27dcPDgQYiiiNzcXCxZsgSTJk1CdHQ0Nm3ahAsXLmDr1q0AAK1Wiw0bNmD16tVITk5GbGwstmzZgiNHjmDPnj02xcLkg4iISC522GCsoaHBrOh0umve1mAwoLCwEM3NzRg2bBgqKyuh0WiQkpJiqqNQKJCYmIgDBw4AACoqKtDa2mpWR61WIzo62lTHWkw+iIiI5GCnHU4jIiKgVCpNJTs7u9NbHjlyBN26dYNCocCsWbNQVFSEAQMGQKPRAADCw8PN6oeHh5vOaTQa+Pj4oHv37p3WsZakHU6JiIhIXlVVVQgKCjJ9rVAoOq1722234fDhw6ivr8f27dsxdepUs20zrlzRKoriNVe5WlPnSuz5ICIikoG9JpwGBQWZlaslHz4+PujXrx/i4+ORnZ2Nu+66C3/4wx+gUl16qOCVPRg1NTWm3hCVSgW9Xo+6urpO61iLyQcREZEcnODBcqIoQqfTITIyEiqVCsXFxaZzer0epaWlSEhIAADExcXB29vbrE51dTWOHj1qqmMtDrsQERHJwNHbq7/66qsYO3YsIiIi0NjYiMLCQpSUlGDXrl0QBAEZGRnIyspCVFQUoqKikJWVBX9/f0yZMgUAoFQqMWPGDMybNw8hISEIDg7G/PnzERMTg+TkZJtiYfJBRETkBn7++Wc89dRTqK6uhlKpxJ133oldu3Zh9OjRAIAFCxagpaUF6enppk3Gdu/ejcDAQNM11qxZAy8vL0yePNm0yVhBQQE8PT1tikUQRdGFH01zbQ0NDVAqlUjCBHgJ3nKHQ3SJh23/UDu8xIAoSe3PD+5+7UrX8EuM9F8fyn511650FYNVZyTHcJv/z5Laewu2bbDUkbN6aT+Pw7/YtsNkR777USWpfbf/+EiOocehay8TvRrf8u8ltW8T9fi8/h1otVqzSZz21P651H9eFjwVvl2+jkF3Ed+tfvW6xnq9sOeDiIhIDg7eXt2ZcMIpERERORR7PoiIiGTg6AmnzsSpez7a2trw61//GpGRkfDz88Mtt9yCZcuWwWg0yh0aERGRNE6w1FYuTt3zsXLlSvz5z3/Gpk2bMHDgQJSXl2PatGlQKpV46aWX5A6PiIiIusCpk4+vvvoKEyZMwIMPPggA6Nu3L959912Ul5fLHBkREZFEnHDqnO655x58/vnn+O677wAA//rXv7B//3488MADnbbR6XQWT/gjIiJyNvbaXt0VOXXPx8KFC6HVanH77bfD09MTBoMBK1aswOOPP95pm+zsbLz++usOjJKIiIhs4dQ9H9u2bcOWLVuwdetWfPPNN9i0aRN+//vfY9OmTZ22Wbx4MbRaralUVVU5MGIiIiIrccKpc3rllVewaNEiPPbYYwCAmJgYnD59GtnZ2Zg6dWqHbRQKxVWf6EdEROQM3HmprVMnHxcuXICHh3nnjKenJ5faEhGR63PjCadOnXyMGzcOK1asQO/evTFw4EAcOnQIOTk5mD59utyhERERURc5dfKxdu1a/OY3v0F6ejpqamqgVqsxc+ZMLF26VO7QiIiIpGHPh3MKDAxEbm4ucnNz5Q6FiIjIroT/FintXZVTr3YhIiKiG49T93wQ3bCMBsmXEKprJLVX/ugvOYY2f1/J12hsDZbUfvf/BUqOYW9AlKT2gh3+BNU3+0hq7/2zt+QYbqqS9o0Ef6uTHIPvsbOS2rfVayW1N4itktrbhMMuRERE5EjuvNSWwy5ERETkUOz5ICIikgOHXYiIiMjhXDiBkILDLkRERORQ7PkgIiKSgTtPOGXyQUREJAfO+SAiIiJHcueeD875ICIiIodizwcREZEcOOxCREREjsRhFyIiIiIHYc8HERGRHDjsQkRERA7lxskHh12IiIjIodjzQUREJAN3nnDK5IPIRRnqtJLa+2gaJcfgF+Yj+Rr6IGkdsEYf6b/GWlsldgIbJYcA7wZPSe39NILkGIKq2iS19z11XnIMbZqfJV/DZXDYhYiIiMgx2PNBREQkA0EUIYhd776Q0lZuTD6IiIjkwGEXeezbtw/jxo2DWq2GIAjYsWOH2XlRFJGZmQm1Wg0/Pz8kJSXh2LFj8gRLRERkR+0TTqUUVyVr8tHc3Iy77roLeXl5HZ5ftWoVcnJykJeXh7KyMqhUKowePRqNjdInyhEREZE8ZB12GTt2LMaOHdvhOVEUkZubiyVLlmDSpEkAgE2bNiE8PBxbt27FzJkzHRkqERGRfXHYxflUVlZCo9EgJSXFdEyhUCAxMREHDhzotJ1Op0NDQ4NZISIicjYcdnFCGo0GABAeHm52PDw83HSuI9nZ2VAqlaYSERFxXeMkIiIi2zht8tFOEMw3zhFF0eLY5RYvXgytVmsqVVVV1ztEIiIi24l2KC7KaZMPlUoFABa9HDU1NRa9IZdTKBQICgoyK0RERM7G0cMu2dnZGDx4MAIDAxEWFoaJEyfi22+/NatjzSpTnU6HOXPmIDQ0FAEBARg/fjzOnj1rUyxOm3xERkZCpVKhuLjYdEyv16O0tBQJCQkyRkZEROR6SktLMXv2bBw8eBDFxcVoa2tDSkoKmpubTXWsWWWakZGBoqIiFBYWYv/+/WhqakJqaioMBoPVsci62qWpqQnff/+96evKykocPnwYwcHB6N27NzIyMpCVlYWoqChERUUhKysL/v7+mDJlioxRExER2YGdVrtcubBCoVBAoVBYVN+1a5fZ1xs3bkRYWBgqKiowYsQIq1aZarVabNiwAe+88w6Sk5MBAFu2bEFERAT27NmDMWPGWBW6rD0f5eXliI2NRWxsLABg7ty5iI2NxdKlSwEACxYsQEZGBtLT0xEfH49z585h9+7dCAwMlDNsIiIiu7DHkEtERITZQovs7Gyr7q3VXno4ZXBwMADrVplWVFSgtbXVrI5arUZ0dPRVV6JeSdaej6SkJIhX2ZteEARkZmYiMzPTcUERERG5kKqqKrP5jR31elxJFEXMnTsX99xzD6KjowFcfZXp6dOnTXV8fHzQvXt3izpXW4l6JT7bhYiISA6ieKlIaQ90aXHFCy+8gH//+9/Yv3+/xTlbV5laW+dyTD6IXJXR+sldHRHPWv9XSmeC/H0kX8OjrZuk9i2/SB89bg2Q9qvQHps9ebZIu4hfrbT3AwD4/t9FSe3FBj76whZSNwrrats5c+bgww8/xL59+9CrVy/T8ctXmfbs2dN0/PJVpiqVCnq9HnV1dWa9HzU1NTYtBnHa1S5EREQ3NAfv8yGKIl544QW8//77+OKLLxAZGWl23ppVpnFxcfD29jarU11djaNHj9qUfLDng4iIyA3Mnj0bW7duxQcffIDAwEDTHA2lUgk/Pz8IgnDNVaZKpRIzZszAvHnzEBISguDgYMyfPx8xMTGm1S/WYPJBREQkA8F4qUhpb4v8/HwAlxZ7XG7jxo145plnAFxaZdrS0oL09HTU1dVhyJAhFqtM16xZAy8vL0yePBktLS0YNWoUCgoK4OnpaXUsTD6IiIjk4OCn2l5tdWk7a1aZ+vr6Yu3atVi7dq1tAVyGcz6IiIjIodjzQUREJAO5Vrs4AyYfREREcrDTPh+uiMMuRERE5FDs+SAiIpIBh12IiIjIsRy82sWZcNiFiIiIHIo9H0RERDLgsAsRERE5lhuvdmHyQUREJAN37vngnA8iIiJyqBu+56N9L/s2tLr0zGAie/MQ9ZKvIRp0kq/R1irt15BBL/1vKIOXIKm9Xf4C1Uu7SFurhCeUtV+j7aKk9qJR+nvKILZKvoYUbbh0f2uegyKZG692ueGTj8bGRgDAfuyUORIiJ9Noh2sccpJrENlZY2MjlErldb2HOw+73PDJh1qtRlVVFQIDAyEIln/dNDQ0ICIiAlVVVQgKCpIhwhsHX0v74WtpH3wd7cddXktRFNHY2Ai1Wi13KDe0Gz758PDwQK9eva5ZLygo6Ib+B+VIfC3th6+lffB1tB93eC2vd4+HiVG8VKS0d1E3fPJBRETklNx4zgdXuxAREZFDuX3Ph0KhwGuvvQaFQiF3KC6Pr6X98LW0D76O9sPX0v4ESJxwardIHE8QHbKeiIiIiIBLk3eVSiWGj8qEl5dvl6/T1nYR//g8E1qt1uXm4XDYhYiIiBzK7YddiIiI5MB9PoiIiMix3Hi1C5MPIiIiGQiiCEHCtEspbeXm9nM+1q1bh8jISPj6+iIuLg5ffvml3CG5nMzMTAiCYFZUKpXcYTm9ffv2Ydy4cVCr1RAEATt27DA7L4oiMjMzoVar4efnh6SkJBw7dkyeYJ3ctV7LZ555xuI9OnToUHmCdWLZ2dkYPHgwAgMDERYWhokTJ+Lbb781q8P3JdmDWycf27ZtQ0ZGBpYsWYJDhw7h3nvvxdixY3HmzBm5Q3M5AwcORHV1takcOXJE7pCcXnNzM+666y7k5eV1eH7VqlXIyclBXl4eysrKoFKpMHr0aNPziuh/rvVaAsD9999v9h7duZPPe7pSaWkpZs+ejYMHD6K4uBhtbW1ISUlBc3OzqQ7fl3ZktENxUW497JKTk4MZM2bg2WefBQDk5ubis88+Q35+PrKzs2WOzrV4eXmxt8NGY8eOxdixYzs8J4oicnNzsWTJEkyaNAkAsGnTJoSHh2Pr1q2YOXOmI0N1eld7LdspFAq+R69h165dZl9v3LgRYWFhqKiowIgRI/i+tDMOu7ghvV6PiooKpKSkmB1PSUnBgQMHZIrKdZ08eRJqtRqRkZF47LHHcOrUKblDcmmVlZXQaDRm70+FQoHExES+P7uopKQEYWFh6N+/P5577jnU1NTIHZLT02q1AIDg4GAAfF+S/bht8nH+/HkYDAaEh4ebHQ8PD4dGo5EpKtc0ZMgQbN68GZ999hnefPNNaDQaJCQkoLa2Vu7QXFb7e5DvT/sYO3Ys/vrXv+KLL77A6tWrUVZWhvvuuw86nU7u0JyWKIqYO3cu7rnnHkRHRwPg+9LuRDsUF+XWwy4AIAjmG9SKomhxjK7u8u7umJgYDBs2DLfeeis2bdqEuXPnyhiZ6+P70z7S0tJM/x8dHY34+Hj06dMHn3zyiWn4gMy98MIL+Pe//439+/dbnOP70k5E8VKR0t5FuW3PR2hoKDw9PS2y9ZqaGousnmwTEBCAmJgYnDx5Uu5QXFb73AS+P6+Pnj17ok+fPnyPdmLOnDn48MMPsXfvXvTq1ct0nO9Lshe3TT58fHwQFxeH4uJis+PFxcVISEiQKaobg06nw4kTJ9CzZ0+5Q3FZkZGRUKlUZu9PvV6P0tJSvj/toLa2FlVVVXyPXkEURbzwwgt4//338cUXXyAyMtLsPN+X9tW+w6mU4qrcethl7ty5eOqppxAfH49hw4Zh/fr1OHPmDGbNmiV3aC5l/vz5GDduHHr37o2amhosX74cDQ0NmDp1qtyhObWmpiZ8//33pq8rKytx+PBhBAcHo3fv3sjIyEBWVhaioqIQFRWFrKws+Pv7Y8qUKTJG7Zyu9loGBwcjMzMTDz/8MHr27Ikff/wRr776KkJDQ/HQQw/JGLXzmT17NrZu3YoPPvgAgYGBph4OpVIJPz8/CILA96U9ufGwi1snH2lpaaitrcWyZctQXV2N6Oho7Ny5E3369JE7NJdy9uxZPP744zh//jx69OiBoUOH4uDBg3wdr6G8vBwjR440fd0+P2bq1KkoKCjAggUL0NLSgvT0dNTV1WHIkCHYvXs3AgMD5QrZaV3ttczPz8eRI0ewefNm1NfXo2fPnhg5ciS2bdvG1/IK+fn5AICkpCSz4xs3bsQzzzwDAHxfkl0IoujCqRMREZGLaWhogFKpRNKQX8PLy7fL12lru4iSfy6HVqtFUFCQHSO8/ty654OIiEg2HHYhIiIih3Ljp9q67WoXIiIikgd7PoiIiGTgzs92YfJBREQkBzee88FhFyIiInIo9nwQERHJQQRglNjeRbHng4iISAbtcz6kFFvs27cP48aNg1qthiAI2LFjh9l5URSRmZkJtVoNPz8/JCUl4dixY2Z1dDod5syZg9DQUAQEBGD8+PE4e/aszd87kw8iIiI30NzcjLvuugt5eXkdnl+1ahVycnKQl5eHsrIyqFQqjB49Go2NjaY6GRkZKCoqQmFhIfbv34+mpiakpqbCYDDYFAuTDyIX9swzz2DixIkWx0tKSiAIAurr6x0eExFZScT/Jp12qdh2u7Fjx2L58uWYNGmSZSiiiNzcXCxZsgSTJk1CdHQ0Nm3ahAsXLmDr1q0AAK1Wiw0bNmD16tVITk5GbGwstmzZgiNHjmDPnj02xcLkg4i6pLW1Ve4QiFybpMTjfytlGhoazIpOp7M5lMrKSmg0GqSkpJiOKRQKJCYm4sCBAwCAiooKtLa2mtVRq9WIjo421bEWkw8iN7B9+3YMHDgQCoUCffv2xerVq83OdzT+e9NNN6GgoAAA8OOPP0IQBLz33ntISkqCr68vtmzZ4qDoiehqIiIioFQqTSU7O9vma7Q/wTg8PNzseHh4uOmcRqOBj48Punfv3mkda3G1C9ENrqKiApMnT0ZmZibS0tJw4MABpKenIyQkxPSkUmstXLgQq1evxsaNG6FQKK5PwETuwghAkNgeQFVVldmD5aT82xQE84BEUbQ4diVr6lyJyQeRi/v444/RrVs3s2OXT/7KycnBqFGj8Jvf/AYA0L9/fxw/fhy/+93vbE4+MjIyOhwvJiLb2WuH06CgIMlPtVWpVAAu9W707NnTdLympsbUG6JSqaDX61FXV2fW+1FTU4OEhASb7sdhFyIXN3LkSBw+fNisvPXWW6bzJ06cwPDhw83aDB8+HCdPnrR5hnp8fLxdYiYi2G3Ohz1ERkZCpVKhuLjYdEyv16O0tNSUWMTFxcHb29usTnV1NY4ePWpz8sGeDyIXFxAQgH79+pkdu3zdfUddouIVv7QEQbA41tGE0oCAAKnhEpFMmpqa8P3335u+rqysxOHDhxEcHIzevXsjIyMDWVlZiIqKQlRUFLKysuDv748pU6YAAJRKJWbMmIF58+YhJCQEwcHBmD9/PmJiYpCcnGxTLEw+iG5wAwYMwP79+82OHThwAP3794enpycAoEePHqiurjadP3nyJC5cuODQOIncjoOf7VJeXo6RI0eavp47dy4AYOrUqSgoKMCCBQvQ0tKC9PR01NXVYciQIdi9ezcCAwNNbdasWQMvLy9MnjwZLS0tGDVqFAoKCky/S6zF5IPoBjdv3jwMHjwYv/3tb5GWloavvvoKeXl5WLdunanOfffdh7y8PAwdOhRGoxELFy6Et7e3jFETuQEHJx9JSUkWPZyXEwQBmZmZyMzM7LSOr68v1q5di7Vr19p07ytxzgfRDW7QoEF47733UFhYiOjoaCxduhTLli0zm2y6evVqREREYMSIEZgyZQrmz58Pf39/+YImohuaIF4tDSIiIiK7amhogFKpxKjb5sHLs+vLYtsMOnz+7WpotVrJq10cjcMuREREMrDXUltXxGEXIiIicij2fBAREcnBwRNOnQmTDyIiIjkYRUCQkEAYXTf54LALERERORR7PoiIiOTAYRciIiJyLKnPZ2HyQURERLZw454PzvkgIiIih2LPBxERkRyMIiQNnbjwahcmH0RERHIQjZeKlPYuisMuRERE5FDs+SAiIpKDG084ZfJBREQkBzee88FhFyIiInIo9nwQERHJgcMuRERE5FAiJCYfdovE4TjsQkRERA7Fng8iIiI5cNiFiIiIHMpoBCBhozCj624yxuSDiIhIDm7c88E5H0RERORQ7PkgIiKSgxv3fDD5ICIikgN3OCUiIiJyDPZ8EBERyUAUjRDFrq9YkdJWbkw+iIiI5CCK0oZOXHjOB4ddiIiIyKHY80FERCQHUeKEUxfu+WDyQUREJAejERAkzNtw4TkfHHYhIiIih2LPBxERkRw47EJERESOJBqNECUMu3CpLREREdnGjXs+OOeDiIiIHIo9H0RERHIwioDgnj0fTD6IiIjkIIoApCy1dd3kg8MuRERE5FDs+SAiIpKBaBQhShh2EV2454PJBxERkRxEI6QNu7juUlsOuxAREbmRdevWITIyEr6+voiLi8OXX37p8BiYfBAREclANIqSi622bduGjIwMLFmyBIcOHcK9996LsWPH4syZM9fhO+ycILryoBEREZGLaWhogFKpRBImwEvw7vJ12sRWlOADaLVaBAUFWdVmyJAhGDRoEPLz803H7rjjDkycOBHZ2dldjsVWnPNBREQkgza0StrgtA2tAC4lM5dTKBRQKBQW9fV6PSoqKrBo0SKz4ykpKThw4EDXA+kCJh9EREQO5OPjA5VKhf2anZKv1a1bN0RERJgde+2115CZmWlR9/z58zAYDAgPDzc7Hh4eDo1GIzkWWzD5ICIiciBfX19UVlZCr9dLvpYoihAEwexYR70el7uyfkfXuN6YfBARETmYr68vfH19HXrP0NBQeHp6WvRy1NTUWPSGXG9c7UJEROQGfHx8EBcXh+LiYrPjxcXFSEhIcGgs7PkgIiJyE3PnzsVTTz2F+Ph4DBs2DOvXr8eZM2cwa9Ysh8bB5IOIiMhNpKWloba2FsuWLUN1dTWio6Oxc+dO9OnTx6FxcJ8PIiIicijO+SAiIiKHYvJBREREDsXkg4iIiByKyQcRERE5FJMPIiIicigmH0RERORQTD6IiIjIoZh8EBERkUMx+SAiIiKHYvJBREREDsXkg4iIiBzq/wPI5TG67/HD5QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(agg)\n",
    "plt.xlabel(\"Hour\")\n",
    "plt.ylabel(\"Month\")\n",
    "plt.title(\"12 x 24 Mean GHI (W/m^2)\")\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "hsds",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
